Identity determination method and device, and positioning system

Abstract

The present disclosure provides an identity determination method, which can determine whether the identity of a target is normal, thereby determining the accuracy of location information. The method comprises: obtaining a biological feature of a target, wherein the target is a target in a current captured image within an image capture area; determining a positioning device corresponding to the biological feature of the target, and determining whether the real-time position of the positioning device is within the image capture area; if so, the identity of the target is normal, and if not, the identity of the target is abnormal.

Description

Technical Field

[0001] The present disclosure relates to the field of computer applications, and in particular to an identity determination method and device, and a positioning system. Background Art

[0002] With the development of positioning technology, location-based management and applications are increasing. For example, enterprises manage the rights of employees and visitors based on their locations, and special places such as prisons monitor the locations of supervised persons. Stores recommend products to shoppers based on their locations, record their movements in the store, and analyze their shopping tendencies.

[0003] At present, if you want to obtain the real-time location data of the person being located, you usually need the person to carry a positioning device and locate the person by determining the real-time location of the positioning device. However, if the identity of the person being located is abnormal, the location of the person being located obtained in this way will be inaccurate.

[0004] Therefore, how to determine whether the identity of the person being located is normal becomes a technical problem that needs to be solved by those skilled in the art. Summary of the invention

[0005] The disclosed embodiment provides an identity determination method, which can determine whether the identity of a target is normal, thereby determining the accuracy of location information.

[0006] The disclosed embodiment provides an identity determination device, which can determine whether the identity of a target is normal, thereby determining the accuracy of location information.

[0007] The disclosed embodiment provides a positioning system, which can determine whether the identity of a target is normal, and thus determine the accuracy of the location information.

[0008] A method for determining an identity, comprising:

[0009] Acquire a biological feature of a target, wherein the target is a target in a current captured image within an image capture area;

[0010] Determine the positioning device corresponding to the biological feature of the target, and judge whether the real-time position of the positioning device is located within the image acquisition area; if so, the identity of the target is normal, if not, the identity of the target is abnormal.

[0011] Optionally, before determining the positioning device corresponding to the biometric feature of the target, it also includes: judging whether there is a positioning device corresponding to the biometric feature of the target; if not, the identity of the target is abnormal; if so, determining the positioning device corresponding to the biometric feature of the target.

[0012] Optionally, the determining whether there is a positioning device corresponding to the biometric feature of the target specifically includes: querying a pre-configured correspondence table between biometric features and positioning devices to determine whether there is a positioning device corresponding to the biometric feature of the target; the determining the positioning device corresponding to the biometric feature of the target specifically includes: determining the positioning device corresponding to the biometric feature of the target from the pre-configured correspondence table.

[0013] Optionally, the correspondence table between the biometric feature and the positioning device specifically includes: a biometric feature, a device identifier of the positioning device, and a correspondence between the biometric feature and the device identifier; wherein the biometric feature includes at least one of a biometric feature value and a biometric feature identifier.

[0014] Optionally, the correspondence table also includes: at least one of an identity identifier, a target type, a travel time period, and an activity area; and a correspondence between the biometric feature and at least one of the identity identifier, the target type, the travel time period, and the activity area; or a correspondence between the device identifier and at least one of the identity identifier, the target type, the travel time period, and the activity area.

[0015] Optionally, it also includes: determining the passage time period and / or activity area corresponding to the biometric feature of the target according to the pre-configured correspondence table; and, judging whether the acquisition time of the current acquired image is included in the passage time period corresponding to the biometric feature of the target, if not, the identity of the target is abnormal; and / or, judging whether the acquisition area of ​​the current acquired image is included in the activity area corresponding to the biometric feature of the target, if not, the identity of the target is abnormal.

[0016] Optionally, there are multiple image acquisition areas, multiple image acquisition areas are included in the positioning area, and the sum of the plane areas of the multiple image acquisition areas is smaller than the plane area of ​​the positioning area; the real-time position includes one or more of one-dimensional coordinates, two-dimensional coordinates, and three-dimensional coordinates.

[0017] Optionally, determining the positioning device corresponding to the biometric feature of the target, and judging whether the real-time position of the positioning device is located within the image acquisition area, specifically includes: determining the positioning device corresponding to the biometric feature of the target, obtaining the real-time position of the positioning device, and judging whether the real-time position is located within the image acquisition area.

[0018] Optionally, determining the positioning device corresponding to the biometric feature of the target, and judging whether the real-time position of the positioning device is located within the image acquisition area, specifically includes: determining the positioning device whose real-time position is located within the image acquisition area, determining the positioning device corresponding to the biometric feature of the target, and judging whether the positioning device corresponding to the biometric feature of the target is included in the positioning device whose real-time position is located within the image acquisition area.

[0019] Optionally, the biometric features of the target are periodically acquired at a first time interval, and it is determined whether the real-time position of the positioning device corresponding to the biometric features of the target is located within the image acquisition area; if the real-time position of the positioning device corresponding to the biometric features of the target is determined to be located within the image acquisition area for N consecutive periods, then it is periodically determined at a second time interval whether the positioning device corresponding to the biometric features of the target is located within the image acquisition area; wherein the second time interval is greater than the first time interval.

[0020] Optionally, after acquiring the biometric features of the target, the method specifically includes: when the biometric features in the currently captured image are different from the biometric features in the previously captured image, determining whether the real-time position of the positioning device corresponding to the biometric features in the currently captured image is located within the image capture area.

[0021] Optionally, it also includes: when the identity of the target is abnormal, issuing an alarm message; the alarm message includes one or more of the target's biometric features, device identification, identity identification, target type, travel time period, and activity area.

[0022] An identity judgment device includes: an acquisition module, configured to obtain the biometric features of a target, wherein the target is a target in a current captured image within an image capture area; a processing module, configured to determine a positioning device corresponding to the biometric features of the target, and determine whether the real-time position of the positioning device is within the image capture area; if so, the identity of the target is normal, and if not, the identity of the target is abnormal.

[0023] Optionally, the processing module is further configured to determine whether there is a positioning device corresponding to the biometric feature of the target before determining the positioning device corresponding to the biometric feature of the target; if not, the identity of the target is abnormal; if so, determine the positioning device corresponding to the biometric feature of the target.

[0024] Optionally, the acquisition module is specifically configured to acquire biometric features of a target in a current captured image within multiple image acquisition areas, wherein the multiple image acquisition areas are included in a positioning area, and the sum of the planar areas of the multiple image acquisition areas is smaller than the planar area of ​​the positioning area.

[0025] Optionally, the processing module is further specifically configured to determine whether the real-time position of the positioning device is located within the image acquisition area based on one or more of the one-dimensional coordinates, two-dimensional coordinates, and three-dimensional coordinates of the positioning device.

[0026] A computer-readable storage medium is used to store a program, and when the program is called by a processor, it is used to execute any of the identity determination methods described above.

[0027] A positioning system, comprising: one or more image acquisition devices, configured to acquire images within an image acquisition area; an image processing module, configured to determine the biometric features of a target in a currently acquired image; one or more positioning base stations, configured to obtain one or more of a relative direction, a relative distance, and a relative distance difference of a positioning device relative to one or more of the positioning base stations; a positioning processing module, configured to determine the real-time position of the positioning device according to one or more of the relative direction, the relative distance, and the relative distance difference; one or more processors, configured to acquire the biometric features of the target from the image processing module; and a positioning device configured to determine the biometric features of the target The corresponding positioning device, based on the real-time position of the positioning device provided by the positioning processing module, determines whether the real-time position of the positioning device corresponding to the biometric features of the target is located within the image acquisition area; if so, the identity of the target is normal, and if not, the identity of the target is abnormal;

[0028] Optionally, in the positioning system, a plurality of the image acquisition areas are included in a positioning area, and the sum of the planar areas of the plurality of the image acquisition areas is smaller than the planar area of ​​the positioning area.

[0029] Optionally, in the positioning system, the real-time position of the positioning device includes one or more of one-dimensional coordinates, two-dimensional coordinates, and three-dimensional coordinates.

[0030] At least one of the above technical solutions adopted in the embodiments of the present disclosure can achieve the following beneficial effects: obtaining the biometric features of the target, wherein the target is the target in the current captured image within the image capture area; determining the positioning device corresponding to the biometric features of the target, and judging whether the real-time position of the positioning device is within the image capture area; if so, the identity of the target is normal, and if not, the identity of the target is abnormal. By judging whether the identity of the target is normal, it is determined whether the identity of the person being located is normal, and thus the accuracy of the location information provided by the positioning device can be judged, thereby improving the management efficiency of the location-based management system.

[0031] Other features and advantages of the present disclosure will be described in the following description, and partly become apparent from the description, or be understood by practicing the present disclosure. The purpose and other advantages of the present disclosure can be realized and obtained by the structures particularly pointed out in the written description, claims, and drawings.

[0032] The technical solution of the present disclosure is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] The accompanying drawings are used to provide a further understanding of the present disclosure and constitute a part of the specification. Together with the embodiments of the present disclosure, they are used to explain the present disclosure and do not constitute a limitation of the present disclosure. In the accompanying drawings:

[0034] Figure 1 A schematic flowchart of an identity determination method provided in an embodiment of the present disclosure.

[0035] Figure 2 A schematic diagram of a positioning area and an image acquisition area provided in an embodiment of the present disclosure.

[0036] Figure 3 It is a schematic diagram of an image acquisition device and a positioning base station when the real-time position is a one-dimensional coordinate in an embodiment of the present disclosure.

[0037] Figure 4 It is a schematic diagram of an image acquisition device and a positioning base station when the real-time position is a two-dimensional coordinate in an embodiment of the present disclosure.

[0038] Figure 5 It is a schematic diagram of an image acquisition device and a positioning base station when the real-time position is a three-dimensional coordinate in an embodiment of the present disclosure.

[0039] Figure 6 It is a schematic diagram of the image collection area and the positioning base station when a plurality of the image collection areas are included in the positioning area in an embodiment of the present disclosure.

[0040] Figure 7 A schematic flowchart of an identity determination method provided in another embodiment of the present disclosure.

[0041] Figure 8 A schematic flowchart of an identity determination method provided in yet another embodiment of the present disclosure.

[0042] Fig. 9 A schematic flowchart of an identity determination method provided in yet another embodiment of the present disclosure.

[0043] Fig.10 A schematic block diagram of an identity determination device provided in an embodiment of the present disclosure.

[0044] Fig.11 A schematic block diagram of an identity determination device provided in an embodiment of the present disclosure.

[0045] Fig.12 A schematic block diagram of an identity determination device provided in an embodiment of the present disclosure.

[0046] Fig.13 A schematic block diagram of an identity determination device provided in an embodiment of the present disclosure.

[0047] Fig.14 A schematic block diagram of an identity determination device provided in an embodiment of the present disclosure. DETAILED DESCRIPTION

[0048] In order to make the purpose, technical solutions and advantages of the present disclosure clearer, the technical solutions of the present disclosure will be clearly and completely described below in combination with the specific embodiments of the present disclosure and the corresponding drawings. Obviously, the described embodiments are only part of the embodiments of the present disclosure, not all of them. Based on the embodiments in this specification, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present disclosure.

[0049] As mentioned above, in the current prior art, if the real-time location data of the person being located is desired, the person being located is usually required to carry a positioning device, and the positioning of the person being located is achieved by determining the real-time location of the positioning device. In an outdoor environment, for example, the person being located needs to carry a positioning device equipped with a GPS module to locate the user. In an indoor environment, the person being located needs to carry a positioning device with an indoor positioning function to locate the user. The module with the indoor positioning function can be, for example, a BLE (Bluetooth Low Energy, low-power Bluetooth) module, a ZigBee module, a Wi-Fi module, an LTE (Long Term Evolution, long-term evolution) module, an RFID (Radio Frequency Identification, radio frequency identification technology) module, an NFC (NearField Communication, near field communication) module, an infrared module, a UWB (UltraWideband, ultra-wideband) module, etc. One or more combinations thereof are not limited here.

[0050] Before locating the person to be located, it is necessary to establish a correspondence between the person to be located and the positioning device carried by the person to be located, so that the person to be located can be located by determining the position of the positioning device. However, the inventors of the present disclosure have found that in actual application scenarios, there may be situations where the identity of the person to be located is abnormal, such as the person to be located not carrying the corresponding positioning device, or the person to be located carrying the positioning device incorrectly. In these situations where the identity of the person to be located is abnormal, it is inaccurate to determine the position of the person to be located based on the position of the positioning device.

[0051] Specifically, for example, if the locatee A forgets the corresponding positioning device in room B, and then the locatee A enters room C, then the real-time position indication of the positioning device obtained at this time that the locatee A is currently in room B is inaccurate, and in fact, the locatee A is currently in room C. For another example, when the locatee A gives the corresponding positioning device to the locatee D, and then the locatee A is in room B, and the locatee D enters room C, the real-time position indication of the positioning device corresponding to the locatee A obtained at this time that A is currently in room C is inaccurate, and in fact, A is currently in room B.

[0052] In order to solve the problem of how to determine whether the identity of the person being located is normal, according to an embodiment of the present disclosure, an identity determination method is provided, such as Figure 1 As shown, the method includes:

[0053] S101. Acquire biological features of a target, wherein the target is a target in a current captured image within an image capture area.

[0054] The target may be a person or an animal. Biometrics refer to physiological or behavioral characteristics inherent in a person or an animal, which can be recorded by an image acquisition device. For example, when the target is a person, the biometrics of the target may specifically be facial features, body features, etc.

[0055] The image acquisition area refers to an area where an image can be acquired by an image acquisition device, such as a passage, room, factory, warehouse, office area, etc. where an image acquisition device is installed. In some embodiments, a large site such as a factory or warehouse can be divided into multiple image acquisition areas, each of which acquires images through at least one image acquisition device.

[0056] Among them, the currently captured image refers to the image captured by the image acquisition device at the current moment, which can be a video or a picture. In the embodiment of the present disclosure, the image acquisition device continuously or intermittently captures images in the image acquisition area. For example, if pedestrian A enters the image acquisition area at 10:15 and leaves the image acquisition area at 10:16, the image captured by the image acquisition device at 10:15 includes the pedestrian A, while the image captured by the image acquisition device after 10:16 does not include the pedestrian A.

[0057] Among them, the acquisition of biometric features is mainly based on biometric feature recognition technology. Taking the biometric feature as an example, the acquisition of facial features is based on face recognition technology. Face recognition technology refers to first judging whether there is a face according to the input picture or video. If there is a face, the position, size and position of each main facial organ of each face are further given, and based on these positions, the key point features (i.e., facial features) included in each face are further extracted, and these key point features are compared with the known key point features of the face, so as to identify each face. The main face recognition methods are: face recognition method of geometric features, face recognition method based on feature face (PCA), face recognition method of neural network, face recognition method of elastic graph matching, face recognition method of line segment Hausdorff distance (LHD), and face recognition method of support vector machine (SVM). The biometric recognition technology based on pictures or videos is relatively mature, which is not the focus of this disclosure, and its principle is not repeated here.

[0058] S102, determining the positioning device corresponding to the biological feature of the target, and judging whether the real-time position of the positioning device is located in the image acquisition area; if so, the identity of the target is normal, and if not, the identity of the target is abnormal.

[0059] Among them, the positioning device refers to a device that can be carried by people or animals and can obtain the real-time location of the positioning device. Specifically, it can be a Bluetooth positioning tag, ZigBee positioning tag, Wi-Fi positioning device, LTE positioning device, RFID positioning tag, NFC positioning tag, infrared positioning tag, UWB positioning tag, etc.

[0060] The positioning device corresponding to the target's biometric features refers to the positioning device that should be carried by the target, and a corresponding relationship is established between the target's biometric features and the positioning device that should be carried by the target. For example, Xiao Zhang should carry a positioning tag numbered 1, and Xiao Wang should carry a positioning tag numbered 2. If the identity is normal, the real-time position of the positioning tag numbered 1 is the real-time position of Xiao Zhang, and the real-time position of the positioning tag numbered 2 is the real-time position of Xiao Wang. Then, a corresponding relationship can be established between Xiao Zhang's facial features and the positioning tag numbered 1, and a corresponding relationship can be established between Xiao Wang's facial features and the positioning tag numbered 2.

[0061] According to the judgment result of step S102, when the identity of the target is normal, the identity of the person being located is normal, and when the identity of the target is abnormal, the identity of the person being located is abnormal. The following example is taken as an example that the target is a person, the biometric feature is specifically a facial feature, the image acquisition area is specifically a channel E in an office area of ​​a certain enterprise, and the positioning device is specifically a UWB positioning tag.

[0062] For example, a company requires all personnel entering the office area to wear UWB positioning tags, and manages the personnel entering the office area based on the real-time location provided by the UWB positioning tags carried by the personnel. Before step S101, when employee A of the company walked through channel E in the office area of ​​the company, he was photographed by the image acquisition device, that is, the image acquisition device included employee A in the current captured image within the range of channel E. In step S101, the facial features of employee A are determined. In step S102, based on the facial features of employee A, it is determined that employee A should be carrying a UWB positioning tag numbered 1001 (hereinafter referred to as "1001 tag"), and it is determined whether the real-time location of the 1001 tag is located in the channel E. If so, the identity of employee A is normal, and if not, the identity of employee A is abnormal. When the identity of employee A is normal, it can be known that the identity of the person being located indicated by the 1001 tag is normal, that is, the real-time location provided by the 1001 tag is true and accurate; when the identity of employee A is abnormal, it can be known that the identity of the person being located indicated by the 1001 tag is abnormal, that is, the real-time location provided by the 1001 tag is inaccurate. Specifically, there are many situations in which the identity of the person being located indicated by the 1001 tag is abnormal. For example, when the employee A forgets the 1001 tag in other areas and the 1001 tag is not carried by anyone else, the person being located indicated by the 1001 tag does not exist. For another example, when the employee A provides the 1001 tag to other unauthorized persons so that the other unauthorized persons can enter the company's office area with the 1001 tag, the person being located indicated by the 1001 tag is the unauthorized person. For another example, when employee A exchanges positioning tags with employee B who should carry a UWB positioning tag numbered 1002 (hereinafter referred to as "1002 tag"), the person being located indicated by tag 1001 is employee B, and the person being located indicated by tag 1002 is employee A. At this time, the identities of the persons being located indicated by tags 1001 and 1002 are both abnormal. Further optionally, at this time, employee A can be reminded based on the result of the judgment that the employee A's identity is abnormal, and reminded to carry or correctly carry the 1001 tag, thereby avoiding management loopholes caused by inaccurate real-time location of personnel due to the abnormal identity of the person being located when only relying on the real-time location provided by the positioning device to manage the personnel entering the enterprise office area.

[0063] In this way, according to the identity judgment method provided by the embodiment of the present disclosure, by judging whether the identity of the target in the current captured image is normal, the identity of the person being located is determined to be normal, thereby avoiding management problems caused by inaccurate real-time location due to abnormal identity of the person being located.

[0064] Optionally, the identity determination method provided by the embodiment of the present disclosure, before determining the positioning device corresponding to the biometric feature of the target, further includes: determining whether there is a positioning device corresponding to the biometric feature of the target; if not, the identity of the target is abnormal; if so, determining the positioning device corresponding to the biometric feature of the target.

[0065] Considering the actual scenario, the feasibility of the technical solution that requires the located person with abnormal identity to actively provide his biometric features to the image acquisition device is very low. For example, a person who impersonates another person's location tag will intentionally avoid using a fingerprint machine for verifying his identity. Therefore, it should be noted that in the embodiment provided by the present disclosure, the image acquisition area is included in the positioning area. When the target is located in the image acquisition area, the image acquisition device actively acquires the image of the target, that is, the current acquired image includes the target; wherein the image acquisition device is configured to acquire images in the image acquisition area; wherein the positioning area refers to an area covered by the positioning signal of the located base station, which can communicate with the positioning device and obtain the real-time position of the positioning device. For example, the positioning area is the entire production workshop, and there are multiple image acquisition areas, including channel 1, channel 2, channel 3 in the production workshop and the entrance and exit of the production workshop. When the target enters any of the image acquisition areas, it can be recorded in the current acquired image, so that it can be determined whether the identity of the target is normal, and thus it can be determined whether the identity of the located person is normal. Through the embodiments provided by the present disclosure, there is no need for the target to actively provide its biometric features to the image acquisition device. When the target walks in the positioning area, any image acquisition area it passes through can be recorded in the current acquired image to determine whether the target's identity is normal. The embodiments provided by the present disclosure are highly feasible in actual scenarios and can avoid management loopholes caused by relying solely on personnel carrying positioning devices and inaccurate real-time location information provided by the positioning devices.

[0066] Optionally, the image acquisition area is included in the positioning area. In some embodiments, the image acquisition area overlaps with the positioning area. For example, the positioning area is a small room with an area of ​​30 square meters for storing valuable materials. The image acquisition device (such as a camera) is installed on the wall facing the door in the small room. At this time, the image acquisition area overlaps with the positioning area in the ground plane direction. When the target enters the small room, it is recorded by the camera, and it is further determined whether the (X, Y) coordinates of the real-time position of the positioning tag corresponding to the target are located in the small room; in other embodiments, there are multiple image acquisition areas, and the sum of the plane areas of the multiple image acquisition areas is smaller than the plane area of ​​the positioning area.

[0067] For example, taking a factory as an example, Figure 2As shown, the positioning area is the entire large rectangular area in the figure, including an entry and exit shoe changing area, six equipment areas, two channels (the first channel and the second channel in the figure) and a valuable material storage area. The image acquisition area is the entry and exit shoe changing area, the first channel, the second channel and the valuable material storage area. When the target enters the entry and exit shoe changing area, it is recorded in the current acquisition image of the entry and exit shoe changing area. It is determined that the positioning device corresponding to the facial features of the target is a UWB positioning tag numbered 01 (hereinafter referred to as 01 tag), and it is determined whether the real-time position of the 01 tag is located in the entry and exit shoe changing area; if so, the identity of the target is normal, if not, the identity of the target is abnormal.

[0068] The inventor found that, on the one hand, if the management of the entering personnel is based only on the real-time location provided by the fixed positioning tag, when the personnel do not carry the positioning tag they should carry or the personnel carry the positioning tag that others should carry, the management purpose cannot be achieved. The inventor found that on the other hand, if the management of the entering personnel is based only on the image acquisition device (such as a camera) to collect facial images, when the personnel enter the blind spot of the camera, or when the personnel are blocked by other people or objects and cannot be photographed by the camera (especially in the factory environment, the personnel are easily blocked by various large machines and equipment), the camera cannot obtain the facial features of the personnel, resulting in a blank period of management. Especially when the number of entering personnel is large, some faces are captured by the camera at the same time, while some faces are not captured by the body, and it is difficult to obtain accurate information of all entering personnel at the same time. At the same time, the camera can only roughly determine that the personnel are located in the image acquisition area of ​​the camera at a certain time, and it is difficult to obtain the precise walking trajectory of the personnel over a long period of time, which is not conducive to statistics and management, and only relying on the image acquisition device to provide continuous personnel information requires dense installation of image acquisition devices, which is costly. Therefore, the location data obtained based only on the positioning device is partially reliable and partially unreliable. It is difficult to obtain the real-time situation of all personnel at the same time based only on the camera. In the embodiment provided by the present disclosure, the current captured image in the image acquisition area provides the biometric characteristics of the target, so that it is possible to judge whether the identity of the target is normal based on the biometric characteristics and the real-time position provided by the positioning device, thereby judging whether the target is carrying the positioning device that should be carried by it in accordance with the management regulations, thereby avoiding management problems caused by the personnel not carrying or not carrying the positioning device correctly. At the same time, after judging whether the identity of the target is normal, it can be determined which positioning devices provide real-time location data that is accurate and reliable, and which positioning devices provide real-time location data that is inaccurate and unreliable, thereby making the statistics and management of entering personnel based on real-time location data more comprehensive and reliable, and further obtaining more reliable personnel trajectories (such as personnel inspection trajectories) and the time personnel stay in important areas (such as valuable material storage rooms, important equipment operation areas), all of which greatly improve the management effect and efficiency of location-based management solutions.

[0069] Considering that in actual application scenarios, after entering the positioning area, people are likely to appear in passages, corridors, entrances and exits, etc., therefore, the image acquisition area is optionally configured in areas with high probability of these people appearing.

[0070] Optionally, the current captured image in the image acquisition area is specifically a video, and the real-time position of the positioning device in the positioning area is determined in real time. The image acquisition device continuously captures video in the image acquisition area, and the time it takes to extract the facial features of a target from the video stream is in the millisecond level. In a real-time positioning system, such as a UWB positioning system, the time it takes for the positioning base station to perform a position solution on the positioning device is in the millisecond level. The positioning base station can perform a position solution on the positioning device at a frequency of milliseconds, so the position of the positioning device is real-time. Therefore, the identity judgment method provided in the embodiment of the present disclosure takes a time of millimeter level for one judgment. Relative to the moving speed of a person or an animal, the method of this embodiment also judges the identity of the target in real time. However, considering that in actual applications, in the case of dense crowds or complex environments in the image acquisition area, the duration of face occlusion is long, resulting in long-term discontinuity of facial features in the video stream, and the possibility of missed shots. To address this problem, the embodiments of the present invention determine the real-time position of the positioning device based on the face trigger in the current captured image. Since the real-time position of the positioning device is more continuous relative to the facial features, the real-time position of the positioning device determined by the face trigger is more accurate than the face recognition method triggered by the real-time position of the positioning device. At the same time, since the image acquisition device continuously acquires video, people move within the image acquisition area and their faces are not obstructed, they are recorded in the current captured video, so the identity of the person can be determined.

[0071] In step S102, it is determined whether the real-time position of the positioning device is located within the image acquisition area, wherein the real-time position may include one or more of one-dimensional coordinates, two-dimensional coordinates, and three-dimensional coordinates.

[0072] In some embodiments, the real-time position is specifically a one-dimensional coordinate, and the number of the positioning base stations is at least two. For example, when the image acquisition area is a narrow and long channel, Figure 3 As shown, the image acquisition device 11 and the image acquisition device 12 are respectively configured above the walls at the two top ends of the passage, and the UWB positioning base station 21 and the UWB positioning base station 22 are respectively configured in the middle and upper parts of the walls at the two top ends. When the target walks in the passage, it is recorded in the current acquisition images of the image acquisition devices 11 and 12. The UWB positioning tag carried by the target performs UWB communication with the UWB positioning base station 21 and the UWB positioning base station 22 to obtain the distances between the UWB positioning tag and the UWB positioning base station 21 and the UWB positioning base station 22 respectively. According to these two distances and the coordinates of the two UWB positioning base stations, the one-dimensional coordinates of the UWB positioning tag can be determined, thereby judging whether the one-dimensional coordinates are in the passage.

[0073] In some other embodiments, the real-time position is specifically a two-dimensional coordinate. For example, when the image acquisition area is a room, Figure 4 As shown, the image acquisition device 11 is configured at a top corner of the room, and the UWB positioning base station 21 and the UWB positioning base station 22 are respectively configured at different positions on the floor of the room. The target entering the room is recorded in the current acquisition image of the image acquisition device 11. The UWB positioning tag carried by the target communicates with the UWB positioning base station 21 and the UWB positioning base station 22 by UWB to obtain the relative directions of the UWB positioning tag and the UWB positioning base station 21 and the UWB positioning base station 22. The relative direction and the coordinates of the two UWB positioning base stations can determine the two-dimensional coordinates of the UWB positioning tag, thereby judging whether the two-dimensional coordinates are in the room. For example, if the floor area of ​​the room is a square area enclosed by (0,0) to (0m, 5m) and (0,0) to (5m, 0m), when the two-dimensional coordinates of the UWB positioning tag are (2m, 3m), the UWB positioning tag is in the room; when the two-dimensional coordinates are (10m, 20m), the UWB positioning tag is not in the room. For another example, there is only one positioning base station, only Figure 4 The UWB positioning base station 21 in the UWB positioning tag determines the two-dimensional coordinates of the UWB positioning tag according to the relative direction and relative distance between the UWB positioning tag and the UWB positioning base station 21. Of course, there can also be three positioning base stations, and the two-dimensional coordinates of the UWB positioning tag are determined according to the distances from the UWB positioning tag to the three UWB positioning base stations.

[0074] In some other embodiments, the real-time position is specifically a three-dimensional coordinate. For example, when the image acquisition area is a room, Figure 5 As shown, the image acquisition device 11 is configured at a top corner of the room, and the UWB positioning base station 21, UWB positioning base station 22, and UWB positioning base station 23 are respectively configured at different positions on the floor of the room. The target entering the room is recorded in the current acquisition image of the image acquisition device 11. The UWB positioning tag carried by the target performs UWB communication with the three UWB positioning base stations to obtain the distances between the UWB positioning tag and the three positioning base stations respectively. The three-dimensional coordinates of the UWB positioning tag can be determined based on the three distances and the coordinates of the three UWB positioning base stations, thereby determining whether the three-dimensional coordinates are in the room. It should be noted that to determine whether the three-dimensional coordinates of the UWB positioning tag are in the image acquisition area, it may be possible to directly determine whether the three-dimensional coordinates of the UWB positioning tag are in the space of the room; in some other embodiments, it may be possible to first determine the three-dimensional coordinates of the UWB positioning tag based on the shooting range of the lens of the image acquisition device 11 (such as Figure 5The intersection of the UWB positioning tag and the room's space is solved to find the area where the image can actually be collected. The volume of this area where the image can actually be collected is smaller than the three-dimensional space of the room. Then, it is determined whether the three-dimensional coordinates of the UWB positioning tag are within the area where the image can actually be collected. Of course, there can be only one positioning base station. The three-dimensional coordinates of the UWB positioning tag are determined based on the relative direction and relative distance between the UWB positioning tag and the UWB positioning base station. In addition, there can be two positioning base stations. The three-dimensional coordinates of the UWB positioning tag are determined based on the relative directions from the UWB positioning tag to the two UWB positioning base stations.

[0075] Further optional, such as Figure 5 As shown, the lens of the image acquisition device 11 can rotate, that is, the shooting range of the lens changes according to the rotation of the lens. At this time, the range of the actual captureable image area can be updated according to the rotation angle of the motor built into the image acquisition device 11 for driving the lens to rotate, or according to the rotation angle obtained by the angle sensor in the image acquisition device 11, and the room space is re-intersected.

[0076] Optionally, a plurality of the image acquisition regions are included in the positioning region, and the sum of the plane areas of the plurality of the image acquisition regions is smaller than the plane area of ​​the positioning region. Figure 6 As shown, UWB positioning base station 21, UWB positioning base station 22, UWB positioning base station 23, and UWB positioning base station 24 are respectively configured at the four corners of the positioning area. Figure 6 The UWB positioning tag in the positioning area of ​​the middle rectangle is positioned, wherein there are four image acquisition areas, namely the first image acquisition area, the second image acquisition area, the third image acquisition area and the fourth image acquisition area. When the current acquisition image of the image acquisition device in the first image acquisition area includes the target, it is determined whether the real-time position of the UWB positioning tag that the target should carry is located in the first image acquisition area. If so, the identity is normal; when the current acquisition image of the image acquisition device in the second image acquisition area includes the target, it is determined whether the real-time position of the UWB positioning tag that the target should carry is located in the second image acquisition area. If so, the identity is normal.

[0077] It should be noted that the positioning device can be one or more combinations of BLE devices, ZigBee devices, Wi-FI devices, LTE devices, RFID devices, NFC devices, infrared devices, UWB devices, laser devices, etc., which are not limited here. Considering that the positioning accuracy of UWB devices can reach the centimeter level, and it has high real-time performance and strong anti-interference, for the scene that requires high-precision identification of the target position, preferably, the positioning device is a UWB positioning base station, and the positioning tag is a UWB positioning tag.

[0078] Of course, the target in the embodiment of the present disclosure can be not only a person, but also an animal, for example, the target can be specifically a pig, a cow, a sheep, etc., and the biological characteristics of the target can be, for example, pig face characteristics, pig body pattern characteristics, etc. The acquisition method of pig face characteristics and pig body pattern characteristics is the same as that of human face characteristics, which will not be repeated here.

[0079] like Figure 7 As shown, another embodiment of the present disclosure further provides an identity determination method, comprising:

[0080] S201. Acquire biological features of a target, wherein the target is a target in a current captured image within an image capture area.

[0081] S202, determine whether there is a positioning device corresponding to the biological feature of the target; if not, the identity of the target is abnormal; if so, execute step S203.

[0082] For example, the image acquisition area and positioning area are the production room, and the facial features of all employees in the production room, the UWB positioning tags that each employee should carry, and the correspondence between the facial features of each employee and the UWB positioning tags they should carry are pre-stored. When an outsider who is not an employee of the production room enters the production room, the facial features of the target are obtained. At this time, the UWB positioning tag that the target should carry cannot be found in the pre-stored UWB positioning tags, then it can be determined that the target does not belong to the employees of this production room and the identity of the target is abnormal.

[0083] S203, determine the positioning device corresponding to the biological feature of the target, and judge whether the real-time position of the positioning device is located in the image acquisition area; if so, the identity of the target is normal, if not, the identity of the target is abnormal.

[0084] For example, specifically, the determining whether there is a positioning device corresponding to the biometric feature of the target includes: querying a pre-configured correspondence table between biometric features and positioning devices to determine whether there is a positioning device corresponding to the biometric feature of the target.

[0085] For example, specifically, the determining the positioning device corresponding to the biological feature of the target specifically includes: determining the positioning device corresponding to the biological feature of the target from the pre-configured correspondence table.

[0086] The pre-configured correspondence table between biometric features and positioning devices may be, for example, the facial features of all authorized personnel pre-stored in the database, and the UWB positioning device that each person should carry. Another example may be the facial features of all first-level pigs in the farm pre-stored in the database, and the UWB positioning tags tied to each first-level pig, as well as the correspondence between the facial features of each first-level pig and the UWB positioning tags on it, so that when other pigs of unknown levels are mixed into the first-level pig group, they can be identified.

[0087] For example, the correspondence table between the biometric feature and the positioning device includes: the biometric feature, the device identifier of the positioning device, and the correspondence between the biometric feature and the device identifier; wherein the biometric feature includes at least one of the biometric feature value and the biometric feature identifier. Taking the face as an example, the correspondence table can refer to Table 1, which includes three fields, wherein the fields for the face feature are the face feature value and the face feature identifier, and the field for the positioning device is the device identifier:

[0088]

[0089]

[0090] Table 1

[0091] As shown in Table 1, for example, when the facial feature value of the target is matrix M, according to the corresponding relationship in Table 1, it can be determined that the facial feature identifier of the target is "0111", and the device identifier of the UWB positioning tag that the target should carry is "00001".

[0092] Optionally, the correspondence table also includes: at least one of an identity identifier, a target type, a travel time period, and an activity area; and a correspondence between the biometric feature and at least one of the identity identifier, the target type, the travel time period, and the activity area; or a correspondence between the device identifier and at least one of the identity identifier, the target type, the travel time period, and the activity area.

[0093] Optionally, according to the pre-configured correspondence table, determine the passage time period and / or activity area corresponding to the biometric feature of the target; and, judge whether the acquisition time of the current acquired image is included in the passage time period corresponding to the biometric feature of the target, if not, the identity of the target is abnormal; and / or, judge whether the acquisition area of ​​the current acquired image is included in the activity area corresponding to the biometric feature of the target, if not, the identity of the target is abnormal.

[0094] Take facial features as an example, refer to Table 2:

[0095]

[0096] Table 2

[0097] Referring to Table 2, when the image acquisition area is the hall, the facial feature corresponding to the facial feature of the target in the current acquisition image of the hall is identified as 0312, then it can be determined that the device identification of the UWB positioning tag carried by the target is 102, and its identity identification (such as ID number) is 7001. Its type should be a warehouse employee, and its passage time is from 17:00 to 18:00 every day. Its active area includes the hall and the warehouse. It is further determined whether the UWB tag with the device identification of 102 is located in the hall. If so, the identity of the target is normal, if not, the identity of the target is abnormal. Further, it can also be determined that the acquisition area of ​​the current acquisition image is the hall, which is included in the activity area of ​​the target, and the identity of the target is normal. Further, it can also be determined that the current acquisition time is 10:35, which is not included in the passage time of the target, and the identity of the target is abnormal.

[0098] For the related implementation of this embodiment, reference can be made to the introduction of the aforementioned embodiment, which will not be described in detail here.

[0099] Optionally, the identity determination method provided by the present disclosure determines the positioning device corresponding to the biometric feature of the target, and determines whether the real-time position of the positioning device is located within the image acquisition area, specifically including: determining the positioning device corresponding to the biometric feature of the target, obtaining the real-time position of the positioning device, and determining whether the real-time position is located within the image acquisition area.

[0100] Further optionally, when the positioning device corresponding to the biometric feature of the target is determined, the real-time position of the positioning device is obtained.

[0101] like Figure 8 As shown, another embodiment of the present disclosure further provides an identity determination method, including:

[0102] S301. Acquire biological features of a target, wherein the target is a target in a current captured image within an image capture area.

[0103] S302, determine whether there is a positioning device corresponding to the biological feature of the target, if so, execute step S303, if not, the target identity is abnormal.

[0104] S303: Determine a positioning device corresponding to the biological feature of the target.

[0105] For example, if the target is a person, the positioning device that the person should carry is determined based on the facial features to be a UWB positioning tag with a device identifier of 0001.

[0106] S304: Acquire the real-time position of the positioning device.

[0107] For example, after the UWB positioning base station communicates with the UWB positioning tag, the relative direction, relative distance, and relative distance difference information of all the UWB positioning tags are uploaded to the positioning solution server, and the positioning solution server performs real-time solution based on the relative direction, relative distance, and relative distance difference information currently received to determine the real-time position coordinates of the UWB positioning tag. When the UWB positioning tag of 0001 is determined in step S303, a request is sent to the positioning solution server to request the coordinates of the real-time position of the UWB positioning tag of 0001.

[0108] S305: Determine whether the real-time position is within the image acquisition area. If so, the target identity is normal; if not, the target identity is abnormal.

[0109] In this way, when determining the positioning device corresponding to the biometric feature of the target, the real-time position of the positioning device is obtained. It is only necessary to obtain the real-time position of the positioning device to be determined in step S305, without obtaining the real-time position of other positioning devices that do not need to be determined in step S305.

[0110] For the related implementation of this embodiment, reference can be made to the introduction of the aforementioned embodiment, which will not be described in detail here.

[0111] Optionally, the identity determination method provided by the present disclosure determines the positioning device corresponding to the biometric feature of the target, and determines whether the real-time position of the positioning device is located within the image acquisition area, specifically including: determining the positioning device whose real-time position is within the image acquisition area, determining the positioning device corresponding to the biometric feature of the target, and determining whether the positioning device corresponding to the biometric feature of the target is included in the positioning device whose real-time position is within the image acquisition area.

[0112] Further optionally, before acquiring the biometric features of the target, the method includes: when it is determined that the target in the currently captured image includes the biometric features, determining a positioning device whose real-time position is within the image capture area.

[0113] like Fig. 9 As shown, another embodiment of the present disclosure further provides an identity determination method, including:

[0114] S401. When it is determined that a target in a currently captured image includes a biological feature, determine a positioning device whose real-time position is within the image capture area.

[0115] The current captured image refers to the current captured image of the image capture device in the image capture area. It is determined that the target in the current captured image includes biological features, for example, the presence of a human face is identified from the current video, that is, it is determined that the current video includes a human face. At this time, the real-time position of the positioning device located in the image capture area is obtained from the positioning solution server, for example, it is determined that the real-time position of the UWB positioning tag with device identification 001, 002, 003 is located in the image capture area.

[0116] S402: Acquire biological features of the target in the currently captured image.

[0117] The biological features of the target in the current captured image are obtained, for example, after the presence of a face is recognized from the current video, the face features are extracted from the current video.

[0118] S403, determine whether there is a positioning device corresponding to the biological feature of the target, if so, execute step S404, if not, the target identity is abnormal.

[0119] S404: Determine a positioning device corresponding to the biological feature of the target.

[0120] For example, the positioning device determined according to the facial features of the target is a UWB positioning tag with a device identification of 002.

[0121] S405. Determine whether the positioning device corresponding to the biological feature of the target is included in the positioning device located in the image acquisition area at the real-time position; if so, the target identity is normal; if not, the target identity is abnormal.

[0122] For example, in step S401, the positioning device determining that the real-time position is within the image acquisition area includes: UWB positioning tags with device identifications 001, 002, and 003. In step S404, the positioning device determining that the biometric feature of the target corresponds to the UWB positioning tag with device identification 002 is specifically the UWB positioning tag with device identification 002. If 002 is included in "001, 002, 003", it can be determined that the identity of the target is normal; otherwise, the identity of the target is abnormal.

[0123] The above steps S402, S403, and S404 can be performed simultaneously with the step S401 of "determining that the real-time position of the positioning device is located in the image acquisition area", which can further improve the real-time nature of identity determination. Of course, the above steps S402, S403, and S404 can also be performed after the step S401 of "determining that the real-time position of the positioning device is located in the image acquisition area".

[0124] For the related implementation of this embodiment, reference can be made to the introduction of the aforementioned embodiment, which will not be described in detail here.

[0125] Considering the actual application scenarios, multiple located persons will be in the image acquisition area for a long time. For example, 100 employees in a production workshop will be in the production workshop from 8 am to 12 noon. Real-time identity judgment of these 100 employees will occupy too many resources.

[0126] Optionally, the identity determination method provided by the embodiment of the present disclosure further specifically includes: periodically acquiring the biometric features of the target at a first time interval, and determining whether the real-time position of the positioning device corresponding to the biometric features of the target is located within the image acquisition area; if the real-time position of the positioning device corresponding to the biometric features of the target is determined to be located within the image acquisition area for N consecutive periods, then periodically determining whether the positioning device corresponding to the biometric features of the target is located within the image acquisition area at a second time interval; wherein the second time interval is greater than the first time interval.

[0127] For example, taking the face as an example, the image acquisition device continuously captures the video of the image acquisition area, and the image processing module in the image acquisition device extracts the facial features from the acquired video in real time. The executing body of the identity judgment method in this embodiment (such as a server) periodically obtains the facial features extracted by the image processing module from the image processing module at an interval of 2 seconds, and determines whether the real-time position of the positioning device corresponding to these facial features is located in the image acquisition area; if the UWB positioning tags corresponding to the facial feature identification 0111 and the facial feature identification 0112 in these facial features are judged to be located in the image acquisition area for 20 consecutive times in 20 cycles, then it is determined whether the UWB positioning tags corresponding to the facial feature identification 0111 and the facial feature identification 0112 are located in the image acquisition area at a time interval of 3 minutes.

[0128] Optionally, the identity determination method provided by the embodiment of the present disclosure further includes: after acquiring the biometric features of the target, specifically including: when the biometric features in the currently captured image are different from the biometric features in the previously captured image, determining whether the real-time position of the positioning device corresponding to the biometric features in the currently captured image is located within the image capture area.

[0129] For example, taking a face as an example, the image acquisition device continuously shoots a video of the image acquisition area, and the image processing module in the image acquisition device extracts the face features from the collected video in real time, and the execution subject (such as a server) of the identity judgment method in this embodiment obtains the face features extracted by the image processing module from the image processing module, and judges whether the real-time position of the positioning device corresponding to these face features is located in the image acquisition area. For example, if the face feature identifiers obtained before the current moment are 0111, 0112, and 0113, and it is judged that the real-time position of the positioning device corresponding to these face features is located in the image acquisition area, then when the face feature identifiers obtained at the current moment are 0111, 0112, and 0113, no judgment is made; if the face feature identifiers obtained at the current moment are 0111, 0112, and 0114, the real-time position of the positioning device corresponding to the face feature identifiers 0111, 0112, and 0114 can be judged, or the real-time position of the positioning device corresponding to the face feature identifier 0114 can be judged.

[0130] Optionally, the identity determination method provided by the embodiment of the present disclosure further includes: when the identity of the target is abnormal, issuing an alarm message; the alarm message includes one or more of the target's biometrics, device identification, identity identification, target type, passage time period, and activity area. For example, referring to Table 1 and Table 2 in the aforementioned embodiment, when the identity of the target is abnormal, the alarm message includes the contents of the fields of the biometrics, device identification, identity identification, target type, passage time period, and activity area corresponding to the target.

[0131] For the related implementation of this embodiment, reference can be made to the introduction of the aforementioned embodiment, which will not be described in detail here.

[0132] Based on the same inventive concept, Fig.10 As shown, the embodiment of the present disclosure also provides an identity judgment device, including: an acquisition module 501, configured to obtain the biometric features of a target, wherein the target is a target in a current captured image within an image capture area; a processing module 502, configured to determine a positioning device corresponding to the biometric features of the target, and determine whether the real-time position of the positioning device is within the image capture area; if so, the identity of the target is normal, and if not, the identity of the target is abnormal.

[0133] For example, the image processing device is specifically a camera, which is configured to collect images in the image processing area and provide them to the image processing module to determine the biometric features of the target in the current collected image. The identity judgment device is specifically a server. The acquisition module 501 in the server obtains the biometric features of the target from the image processing module, which can be a biometric value or a biometric identifier. The processing module 502 in the server obtains the biometric features of the target from the acquisition module 501, and compares them with the real-time position of the positioning device stored locally on the server, or with the real-time position of the positioning device obtained from the positioning solution module, to determine whether the real-time position of the positioning device corresponding to the biometric features is located in the image collection area.

[0134] Further optional, such as Fig.11 As shown, the acquisition module 501 specifically includes a feature acquisition module 5011, which is configured to acquire the biological features of the target in the current captured image from the image processing module; and specifically includes a position acquisition module 5012, which is configured to acquire the real-time position of the positioning device from the positioning solution module. For example, the image processing module is specifically configured in the image processing server or in the image processing device. For example, the positioning solution module is specifically configured in the positioning solution server or in the positioning base station.

[0135] Further optional, such as Fig.12 As shown, the identity judgment device also includes the image processing module 503 and the positioning solution module 504. The image processing module 503 is specifically configured to obtain the current acquisition image from the image processing device, determine the biometric features of the target in the current acquisition image, and provide the biometric features to the acquisition module 501; the positioning solution module 504 is specifically configured to obtain the relative distance, relative direction or relative distance difference of the positioning device relative to the one or more positioning base stations from one or more positioning base stations, and determine the real-time position of the positioning device according to the relative distance, relative direction and relative distance difference, and provide the real-time position to the processing module 501. After that, the acquisition module 501 provides the biometric features and the real-time position to the processing module 502, so that the processing module 502 determines whether the real-time position of the positioning device is located in the image acquisition area.

[0136] Optionally, the processing module 502 is further configured to determine whether there is a positioning device corresponding to the biometric feature of the target before determining the positioning device corresponding to the biometric feature of the target; if not, the identity of the target is abnormal; if so, determine the positioning device corresponding to the biometric feature of the target.

[0137] Optionally, the acquisition module 501 is specifically configured to acquire the biometric features of the target in the current acquisition image within multiple image acquisition areas, wherein the multiple image acquisition areas are included in the positioning area, and the sum of the planar areas of the multiple image acquisition areas is smaller than the planar area of ​​the positioning area. Further optionally, the image processing module 503 is specifically configured to determine the biometric features of the target in the current acquisition image within the multiple image acquisition areas.

[0138] Optionally, the processing module 502 is specifically configured to determine whether the real-time position of the positioning device is located in the image acquisition area according to one or more of the one-dimensional coordinates, two-dimensional coordinates, and three-dimensional coordinates of the positioning device. Further optionally, the positioning processing module 504 is specifically configured to determine the one-dimensional coordinates, two-dimensional coordinates, or three-dimensional coordinates of the positioning device according to the relative distance, relative direction, and relative distance difference.

[0139] Optionally, the processing module 502 is specifically configured to determine whether there is a positioning device corresponding to the biological feature of the target according to a pre-configured correspondence table between biological features and positioning devices; and is specifically configured to determine the positioning device corresponding to the biological feature of the target from the pre-configured correspondence table. Further optionally, Fig.13 As shown, the identity judgment device further includes a storage module 505, which is specifically configured to store the pre-configured corresponding relationship table, and return the result of whether there is a positioning device corresponding to the biological feature of the target according to the first query instruction of the processing module 502, and return the device identification of the positioning device corresponding to the biological feature of the target according to the second query instruction of the processing module 502. So that the processing module 502 determines whether the real-time position of the positioning device is located in the image acquisition area.

[0140] Optionally, the correspondence table between the biometric feature and the positioning device specifically includes: a biometric feature, a device identifier of the positioning device, and a correspondence between the biometric feature and the device identifier; wherein the biometric feature includes at least one of a biometric feature value and a biometric feature identifier.

[0141] Optionally, the correspondence table also includes: at least one of an identity identifier, a target type, a travel time period, and an activity area; and a correspondence between the biometric feature and at least one of the identity identifier, the target type, the travel time period, and the activity area; or a correspondence between the device identifier and at least one of the identity identifier, the target type, the travel time period, and the activity area.

[0142] Optionally, the processing module 502 is further specifically configured to determine the passage time period and / or activity area corresponding to the target's biometric features according to the pre-configured correspondence table; and is further specifically configured to determine whether the acquisition time of the current acquisition image is included in the passage time period corresponding to the target's biometric features, if not, the target's identity is abnormal; and / or is further configured to determine whether the acquisition area of ​​the current acquisition image is included in the activity area corresponding to the target's biometric features, if not, the target's identity is abnormal. Further optionally, the storage module 505 is further specifically configured to return the passage time period and / or activity area corresponding to the target's biometric features according to the third query instruction of the processing module 502, so that the processing module 502 determines whether the acquisition time of the current acquisition image is included in the passage time period corresponding to the target's biometric features; and / or determines whether the acquisition area of ​​the current acquisition image is included in the activity area corresponding to the target's biometric features.

[0143] Optionally, the processing module 502 is specifically configured to determine the positioning device corresponding to the biometric feature of the target; the acquisition module 501 is specifically configured to obtain the real-time position of the positioning device from the positioning solution module according to the positioning device corresponding to the biometric feature determined by the processing module 502; and the processing module 502 is specifically configured to determine whether the real-time position is located in the image acquisition area according to the real-time position of the positioning device acquired by the acquisition module 501. Further optionally, the processing module 502 is specifically configured to determine the positioning device whose real-time position is located in the image acquisition area when it is determined that the target in the current acquired image includes a biometric feature.

[0144] Optionally, the processing module 502 is specifically configured to determine the positioning device whose real-time position is located within the image acquisition area, determine the positioning device corresponding to the biometric feature of the target, and determine whether the positioning device corresponding to the biometric feature of the target is included in the positioning device whose real-time position is located within the image acquisition area. For example, the processing module 502 obtains the device identification of all positioning devices whose current real-time position is located within the image acquisition area from the positioning solution module, and then determines the device identification of the positioning device corresponding to the biometric feature based on the biometric feature obtained from the image processing module, and then determines whether the device identification of the positioning device corresponding to the biometric feature is included in the device identification of the positioning device whose real-time position is located within the image acquisition area.

[0145] Optionally, the acquisition module 501 is specifically configured to periodically acquire the biometric features of the target at a first time interval, and the processing module 502 is specifically configured to periodically determine whether the real-time position of the positioning device corresponding to the biometric features of the target is located within the image acquisition area at the first time interval; the processing module 502 is also specifically configured to periodically determine whether the positioning device corresponding to the biometric features of the target is located within the image acquisition area at a second time interval when the real-time position of the positioning device corresponding to the biometric features of the target is determined to be located within the image acquisition area for N consecutive periods; wherein the second time interval is greater than the first time interval, and N is a positive integer.

[0146] Optionally, the processing module 502 is specifically configured to determine whether the real-time position of the positioning device corresponding to the biometric feature in the current collected image is located in the image collection area when the biometric feature in the current collected image is different from the biometric feature in the current previously collected image. Further optionally, the processing module 502 is also configured to obtain the biometric feature of the target from the image processing module, and determine whether the currently obtained biometric feature is the same as the currently obtained biometric feature, if different, then determine whether the real-time position of the positioning device corresponding to the biometric feature in the current collected image is located in the image collection area, if the same, no determination is required.

[0147] Optional, such as Fig.14 As shown, the identity determination device further includes an alarm module 506, and the alarm module 506 is configured to issue an alarm message when the identity of the target is abnormal; the alarm message includes one or more of the target's biometric features, device identification, identity identification, target type, travel time period, and activity area. Further optionally, when the identity of the target is abnormal, the processing module 502 sends an alarm instruction carrying the alarm message to the alarm module 506, so that the alarm 506 issues the alarm message.

[0148] The relevant implementation in the embodiment of the identity determination device can refer to the introduction of the embodiment of the aforementioned identity determination method, which will not be repeated here.

[0149] It should be noted that the identity judgment device can also be a smart terminal device such as a laptop computer, a smart phone, a smart tablet, etc., and can also include an integrated circuit board of a transceiver module, a processor, and a memory, and can be configured in an image processing device, a positioning device, a positioning base station, an image processing server or a positioning solution server; wherein the image processing server includes an image processing module, and the positioning solution server includes a positioning solution module.

[0150] Based on the same inventive concept, an embodiment of the present disclosure further provides a computer-readable storage medium for storing a program, which, when called by a processor, is used to execute any identity determination method in the aforementioned embodiments.

[0151] Based on the same inventive concept, an embodiment of the present disclosure also provides a positioning system, including: one or more image acquisition devices, configured to acquire images within an image acquisition area; an image processing module, configured to determine the biometric features of a target in a currently acquired image; one or more positioning base stations, configured to acquire one or more of a relative direction, a relative distance, and a relative distance difference of a positioning device relative to one or more of the positioning base stations; a positioning processing module, configured to determine the real-time position of the positioning device according to one or more of the relative direction, the relative distance, and the relative distance difference; one or more processors, configured to acquire the biometric features of the target from the image processing module; and a positioning device configured to determine the biometric features of the target The corresponding positioning device, and determine whether the real-time position of the positioning device corresponding to the biometric features of the target is located within the image acquisition area based on the real-time position of the positioning device provided by the positioning processing module; if so, the identity of the target is normal, and if not, the identity of the target is abnormal.

[0152] For example, the image processing device is specifically a camera, and the image processing module can be configured in the image processing device, or in an image processing server or one or more processors. The image processing device provides the current captured image to the image processing module.

[0153] For example, the positioning base station is specifically a UWB positioning base station, and the positioning device is specifically a UWB positioning tag. The positioning processing module can be configured in the positioning base station, or configured in the positioning solution server, or configured in the one or more processors. The positioning processing module is configured to obtain the relative direction, relative distance, relative distance difference from the positioning base station and solve the real-time position of the positioning device, and provide the real-time position to the one or more processors.

[0154] For example, the one or more processors may be specifically configured in a server or in other electronic devices.

[0155] Optionally, in the positioning system, a plurality of the image acquisition areas are included in a positioning area, and the sum of the planar areas of the plurality of the image acquisition areas is smaller than the planar area of ​​the positioning area.

[0156] Optionally, in the positioning system, the real-time position of the positioning device includes one or more of one-dimensional coordinates, two-dimensional coordinates, and three-dimensional coordinates.

[0157] The relevant implementation in the embodiment of the positioning system can refer to the introduction of the embodiment of the identity judgment method and the identity judgment device mentioned above, which will not be repeated here.

[0158] In the various embodiments provided in the present disclosure, it should be understood that the disclosed related devices, modules and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the modules or units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0159] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0160] In addition, each functional module or functional unit in each embodiment of the present invention may be integrated into one processing module or processing unit, or each module or each unit may exist physically separately, or two or more modules or units may be integrated into one module or unit. The above-mentioned integrated modules or units may be implemented in the form of hardware or in the form of software functional units.

[0161] If the integrated module or unit is implemented in the form of a software function module or software function unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including several instructions for a computer processor to execute all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program code.

Claims

1. A method for determining identity, characterized in that: include: Acquire a biological feature of a target, wherein the target is a target in a current captured image within an image capture area; Query a pre-configured correspondence table between biometric features and positioning devices to determine whether there is a positioning device corresponding to the biometric features of the target; the correspondence table between biometric features and positioning devices specifically includes: biometric features, device identifiers of positioning devices, and correspondence between the biometric features and the device identifiers; wherein the biometric features include at least one of a biometric feature value and a biometric feature identifier; at least one of an identity identifier, a target type, a travel time period, and an activity area; and, a correspondence between the biometric features and at least one of the identity identifier, the target type, the travel time period, and the activity area; or, a correspondence between the device identifier and at least one of the identity identifier, the target type, the travel time period, and the activity area; If not, the identity of the target is abnormal; If yes, determine the positioning device corresponding to the target's biological feature from the pre-configured correspondence table; determine whether the real-time position of the positioning device is located within the image acquisition area; if yes, the target's identity is normal, if not, the target's identity is abnormal; Determine the passage time period and / or activity area corresponding to the biological characteristics of the target according to the pre-configured correspondence table; And, determine whether the acquisition time of the current acquired image is included in the passage time period corresponding to the biometric feature of the target, if not, the identity of the target is abnormal; and / or, determine whether the acquisition area of ​​the current acquired image is included in the activity area corresponding to the biometric feature of the target, if not, the identity of the target is abnormal.

2. The identity determination method according to claim 1, characterized in that: in: There are multiple image acquisition areas, multiple image acquisition areas are included in the positioning area, and the sum of the plane areas of the multiple image acquisition areas is smaller than the plane area of ​​the positioning area; The real-time position includes one or more of one-dimensional coordinates, two-dimensional coordinates, and three-dimensional coordinates.

3. The identity determination method according to claim 1, characterized in that: Determining a positioning device corresponding to the biological feature of the target and judging whether the real-time position of the positioning device is located in the image acquisition area specifically includes: Determine a positioning device corresponding to the biological feature of the target, obtain the real-time position of the positioning device, and determine whether the real-time position is within the image acquisition area.

4. The identity determination method according to claim 1, characterized in that: Determining a positioning device corresponding to the biological feature of the target and judging whether the real-time position of the positioning device is located in the image acquisition area specifically includes: Determine the positioning device whose real-time position is within the image acquisition area, determine the positioning device corresponding to the biometric feature of the target, and judge whether the positioning device corresponding to the biometric feature of the target is included in the positioning device whose real-time position is within the image acquisition area.

5. The identity determination method according to any one of claims 1 to 4, characterized in that: Specifically include: Periodically acquiring a biological feature of a target at a first time interval, and determining whether a real-time position of a positioning device corresponding to the biological feature of the target is located within the image acquisition area; If the real-time position of the positioning device corresponding to the biometric feature of the target is judged to be within the image acquisition area for N consecutive periods, then it is periodically judged at a second time interval whether the positioning device corresponding to the biometric feature of the target is within the image acquisition area; wherein the second time interval is greater than the first time interval.

6. The identity determination method according to any one of claims 1 to 4, characterized in that: After obtaining the target's biometric features, it includes: When the biological feature in the current collected image is different from the biological feature in the previous collected image, it is determined whether the real-time position of the positioning device corresponding to the biological feature in the current collected image is located within the image collection area.

7. The identity determination method according to any one of claims 1 to 4, further comprising: When the identity of the target is abnormal, an alarm message is issued; the alarm message includes one or more of the target's biological characteristics, device identification, identity identification, target type, passage time period, and activity area.

8. An identity determination device, comprising: An acquisition module is configured to acquire a biometric feature of a target, wherein the target is a target in a current captured image within an image capture area; a processing module configured to determine a positioning device corresponding to the biological feature of the target, and determine whether the real-time position of the positioning device is located in the image acquisition area; if so, the identity of the target is normal, and if not, the identity of the target is abnormal; The processing module is specifically used to query a pre-configured correspondence table between biometric features and positioning devices to determine whether there is a positioning device corresponding to the biometric features of the target; the correspondence table between biometric features and positioning devices specifically includes: biometric features, device identifiers of positioning devices, and correspondence between the biometric features and the device identifiers; wherein the biometric features include at least one of a biometric feature value and a biometric feature identifier; at least one of an identity identifier, a target type, a travel time period, and an activity area; and, a correspondence between the biometric features and at least one of the identity identifier, the target type, the travel time period, and the activity area; or, a correspondence between the device identifier and at least one of the identity identifier, the target type, the travel time period, and the activity area; If not, the identity of the target is abnormal; If yes, determining the positioning device corresponding to the biological feature of the target from the pre-configured correspondence table; The processing module is also used to determine the passage time period and / or activity area corresponding to the biological characteristics of the target according to the pre-configured corresponding relationship table; And, determine whether the acquisition time of the current acquired image is included in the passage time period corresponding to the biometric feature of the target, if not, the identity of the target is abnormal; and / or, determine whether the acquisition area of ​​the current acquired image is included in the activity area corresponding to the biometric feature of the target, if not, the identity of the target is abnormal.

9. A computer-readable storage medium, used for storing a program, which, when called by a processor, is used to execute the identity determination method according to any one of claims 1 to 7.

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