A target person detection method, device and system

Abstract

This application provides a method, apparatus, and system for detecting target personnel. The method includes: detecting personnel within the public area of ​​a preset location that meet preset number and distance conditions using captured images of the public area; obtaining groups of multiple people that meet the preset number and distance conditions; these groups can be considered as individuals engaged in discussion; if the discussion is a normal discussion about a project, then the discussion should occur in a non-public area of ​​the preset location, not in the public area. Therefore, the discussion is considered an abnormal discussion about the project, and the identities of personnel exhibiting targeted behavior can be detected.

Description

Technical Field

[0001] This application relates to the field of image processing technology, and in particular to a method, apparatus and system for detecting target persons. Background Technology

[0002] In certain settings, it is necessary to avoid conversations between individuals from different projects to ensure the safety and confidentiality of the personnel and projects involved. For example, in some situations, to ensure that participants can review and evaluate projects fairly and impartially, it is usually necessary for participants from different projects to avoid interfering with each other.

[0003] Therefore, how to effectively detect whether there is mutual influence between people in a venue has become a technical problem in ensuring the safety and confidentiality of the people and projects involved in the venue. Summary of the Invention

[0004] The purpose of this application is to provide a method, apparatus, and system for detecting target personnel, so as to promptly detect target personnel who may interact with each other, thereby ensuring the safety and confidentiality of personnel and projects within the premises. The specific technical solution is as follows:

[0005] In a first aspect, embodiments of this application provide a method for detecting target personnel, wherein the method includes:

[0006] Acquire images of the public areas of a predetermined location; the predetermined location includes both public and non-public areas.

[0007] Identify groups of multiple people in the public area image that meet preset number and distance conditions;

[0008] Based on a preset identity information database, target individuals matching the preset identity type are identified from the group of multiple people, and the identity information of the target individuals is obtained.

[0009] Based on the pre-defined correspondence between personnel identity and project, determine the project corresponding to each target personnel as the first project;

[0010] If at least a preset number of the target personnel correspond to different first items, then each of the target personnel is determined as a person who has engaged in the target behavior.

[0011] Secondly, embodiments of this application provide a target personnel detection device, wherein the device includes:

[0012] The image acquisition module is used to acquire images of public areas within a preset location; the preset location includes both public and non-public areas.

[0013] The first determining module is used to determine the multi-person groups in the public area image that meet the preset number of people and distance conditions;

[0014] The identity information recognition module is used to identify target personnel who match the preset identity type from the group of multiple people based on a preset identity information database, and obtain the identity information of the target personnel.

[0015] The second determining module is used to determine the project corresponding to each target person according to the preset correspondence between personnel identity and project, and to designate it as the first project;

[0016] The third determining module is used to determine each of the target personnel as a person who has engaged in the target behavior if at least a preset number of the target personnel correspond to different first items.

[0017] Thirdly, embodiments of this application provide an electronic device, wherein the electronic device includes: a memory for storing computer programs;

[0018] When the processor executes a program stored in memory, it implements the target person detection method described in any of the first aspects above.

[0019] Fourthly, embodiments of this application provide a target personnel detection system, wherein the system includes the electronic equipment of the third aspect, and further includes:

[0020] An image acquisition device is installed in a public area of ​​a predetermined location to acquire images of the public area and send them to the processor; the predetermined location includes both public and non-public areas.

[0021] An image acquisition device is installed in a non-public area of ​​a pre-designated location; used to acquire the identity information of the person to be authenticated by the image acquisition device in the non-public area of ​​the pre-designated location, and send it to the electronic device.

[0022] Fifthly, embodiments of this application provide a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, which, when executed by a processor, implements the target personnel detection method described in any of the first aspects above.

[0023] Beneficial effects of the embodiments in this application:

[0024] The target personnel detection method, apparatus, and system provided in this application can detect individuals within a public area image that meet preset number and distance conditions. This results in groups of multiple people meeting these conditions, which can be considered as individuals engaged in discussion. If the discussion is a normal discussion about a project, it should occur in a non-public area, not a public area. Therefore, the discussion is considered an abnormal discussion about the project, indicating that some individuals are disturbing others in the area. Identifying the individuals within these groups allows for the detection of individuals exhibiting targeted behavior.

[0025] Of course, implementing any product or method of this application does not necessarily require achieving all of the advantages described above at the same time. Attached Figure Description

[0026] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other embodiments can be obtained based on these drawings.

[0027] Figure 1 This is a possible flowchart illustrating the target personnel detection method provided in the embodiments of this application;

[0028] Figure 2 A schematic diagram of another possible process for the target personnel detection method provided in the embodiments of this application;

[0029] Figure 3 A possible logical structure diagram of the target personnel detection device provided in the embodiments of this application;

[0030] Figure 4 A possible logical structure diagram of an electronic device provided in an embodiment of this application;

[0031] Figure 5 This is a schematic diagram of a possible logical structure of the target personnel detection system provided in the embodiments of this application. Detailed Implementation

[0032] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art based on this application are within the scope of protection of this application.

[0033] To more clearly illustrate the target personnel detection method provided in this application, a possible application scenario of the target personnel detection method provided in this application will be described below. It should be understood that the following example is only one possible application scenario of the target personnel provided in this application. In other possible embodiments, the target personnel detection method provided in this application can also be applied to other possible application scenarios.

[0034] The conference organizers invited A, B, and C to review the first project, and D, E, and F to review the second project. To prevent these individuals from giving unfair or unjust review results due to personal interests or personal relationships, the invited individuals A and C should have no conflict of interest or personal relationship with the person in charge of the first project, and the invited individuals D and F should have no conflict of interest or personal relationship with the person in charge of the second project.

[0035] However, Person A (AC) may have a conflict of interest or personal relationship with the person in charge of the second project. Assuming Person A has such a relationship, they might, for their own benefit, influence Person DF (DF) on behalf of the second project leader, causing DF to provide the project review results according to the second project leader's wishes. Because Person A acts as an intermediary between the second project leader and Person DF, their actions interfere with the project review results.

[0036] It is evident that in such scenarios, certain behaviors of the target personnel can disrupt fair and impartial project reviews. Therefore, it is crucial to detect the target personnel promptly to ensure the fairness and impartiality of project reviews as much as possible.

[0037] In another possible scenario, two workshops with different themes are held simultaneously in a conference center, with participants from two different fields. For example, the first workshop discusses polymer heat-resistant materials, while the second workshop discusses stainless steel heat-resistant materials. Participants are typically experts in their respective fields. However, some attendees at the second workshop may be journal presenters who introduce relevant journals to those attending the first workshop, thus interfering with their participation. This behavior is called journal presentation behavior, and the journal presenters at the second workshop are the target personnel to be identified. Therefore, it is necessary to promptly detect these target personnel who are interfering with participants in other workshops to minimize their disruption.

[0038] Based on this, this application provides a target personnel detection method, which can be applied to any electronic device with target personnel detection functionality, including but not limited to personal computers, mobile terminals, servers, etc. The target personnel detection method provided in the embodiments of this application is as follows: Figure 1 As shown, it includes:

[0039] S11, Obtain the public area image of the public area of ​​the preset location; wherein, the preset location includes public areas and non-public areas;

[0040] S12, identify groups of multiple people in the public area image that meet the preset number of people and distance conditions;

[0041] S13, Based on the preset identity information database, identify the target person who matches the preset identity type from the group of multiple people, and obtain the identity information of the target person;

[0042] S14. Based on the pre-defined correspondence between personnel identity and project, determine the project corresponding to each target personnel as the first project;

[0043] S15, if at least a preset number of target personnel correspond to different first items, then each target personnel is identified as a person who has engaged in the target behavior.

[0044] Using the embodiments of this application, images of public areas can be captured to detect individuals meeting preset number and distance criteria. Groups of multiple people meeting these criteria can be considered as individuals engaged in discussion. If their discussion is a normal discussion about the project, it should occur in a non-public area, not a public area. Therefore, it is considered that their discussion is an abnormal discussion about the project, meaning some individuals are disturbing others in the area. Thus, identifying the individuals within these groups allows for the detection of individuals exhibiting targeted behavior.

[0045] Furthermore, this application can automatically detect the identity of individuals engaging in targeted behavior based on images of public areas captured by the application, eliminating the need for manual detection by relevant personnel and effectively reducing labor costs.

[0046] To more clearly explain the target personnel detection method provided in this application, the aforementioned S11-S15 will be explained below:

[0047] In S11, the preset location refers to the location where target personnel need to be detected, and can be set according to actual needs. For example, taking the detection requirement for target personnel who exhibit disruptive behavior during meetings as an example, the preset location is the project review location. Taking the detection requirement for target personnel who exhibit journal presentation behavior as an example, the preset location is the seminar location. The preset location includes public and non-public areas. Specifically, the public area of ​​the preset location refers to the area where all personnel authorized to enter the preset location are allowed to enter. For example, taking the project review location as an example, assuming the project review location is on the second floor of a building, where Room 201 is used for the review of the first project and Room 202 is used for the review of the second project, then Room 201 is only open to personnel involved in the review of the first project, and Room 202 is only open to personnel involved in the review of the second project. Therefore, Rooms 201 and 202 are not public areas. The tea room and corridors on the second floor of the building are public areas, as they are accessible to both personnel involved in the review of the first and second projects.

[0048] The images of public areas can be captured by the subject of the target personnel detection method provided in this application (hereinafter referred to as the subject of ...

[0049] In S12, human detection can be performed on the public area image to determine the location of each person in the public area image, thereby determining the number of people appearing in the camera's field of view based on the location of each person, and determining the distance between each person.

[0050] In S12, a group of people that meets the preset number and distance conditions can be identified by determining the distribution of individuals detected in the public area image and the distances between them. This group consists of multiple individuals whose distances are less than a preset distance threshold and whose number of individuals whose distances are less than the preset distance threshold is greater than a preset number threshold. For example, based on the distances between individuals in the public image, individuals whose distances are less than the preset distance threshold are selected as a group. If the number of individuals in this group is greater than the preset number threshold, then this group is identified as a multi-person group.

[0051] The preset number of participants threshold may vary depending on the application scenario, but should be at least 2. If a group contains only 2 people, "distance less than the preset distance threshold" means that the distance between the two people in the group is less than the preset distance threshold. If a group contains 3 or more people, "distance less than the preset distance threshold" can mean either that the distance between any two people in the group is less than the preset distance threshold, or that for any person in the group, the distance between them and at least one other person in the group is less than the preset distance threshold. The preset distance threshold may vary depending on the application scenario, but should not exceed the distance maintained between people during normal conversation.

[0052] In some possible scenarios, target individuals typically engage in conversation for a period of time to exchange information. In such cases, selecting only a momentary public area image for judgment would result in low accuracy in target individual detection. To improve the detection accuracy of the target individual detection method provided in this application, in one possible embodiment, the determination of multiple groups in the public area image that meet preset number and distance conditions in step S12 can also be achieved through the following steps:

[0053] Identify groups of multiple people that meet the preset number of people and distance requirements within a preset time period.

[0054] The preset duration can be determined based on actual experience or historical data; this application does not specify the exact method of determination.

[0055] By using the embodiments of this application, if the distance between each person in the public area image of the public area within a preset time period meets the preset distance condition, and the number of people meeting the preset distance condition meets the preset number condition, the information exchange between the target people in this group of multiple people can be accurately determined, which is beneficial to improving the accuracy of target person judgment.

[0056] In S13, the preset identity information database can be a database that pre-records the identity information of each person entering the preset location. For example, taking the aforementioned target personnel detection scenario in the review location as an example, the preset identity information database can be a database that pre-records the identity information of each participant in the project review, wherein the recorded identity information of the participants includes, but is not limited to, the participant's name, participant number, participant's identity feature image, project review project name, project review project number, etc.

[0057] When performing step S13, the identity feature images of each person in the group can be obtained from the public area image, and the obtained identity feature images can be identified. The identified identity features are compared with the identity feature images recorded in the preset identity information database, and the identity information of the person matching the preset identity type is determined based on the comparison result. The person whose identity type belongs to the review participant is identified as the target person, and the target person's name, number, project review project name, project review project number, and other target person identity information are determined based on the preset identity information database.

[0058] When executing step S14, the project for each target person is determined according to the preset correspondence between personnel identity and project, and is designated as the first project. This can be based on the correspondence between personnel identity and project recorded in a preset identity information database. In another possible embodiment, the preset personnel identity information database does not record the correspondence between personnel and projects; instead, the correspondence is recorded in another database. In this case, when executing step S14, the first project for each person can be determined from the database containing the correspondence between personnel and projects, based on the personnel identity determined from the personnel identity information database.

[0059] Furthermore, during step S15, the first item corresponding to each target person is compared to determine whether there are at least a preset number of target people whose first items are different. The preset number can be set according to actual needs or based on historical experience, but it should be at least 2.

[0060] If at least a predetermined number of target individuals have different first items, then each target individual is identified as someone who has engaged in the targeted behavior. The "at least predetermined number of target individuals having different first items" can mean that all target individuals in a group have different first items. Alternatively, the first items of each target individual can be different from each other, or one target individual's first item can be different from the first items of the other target individuals, while the first items of the other target individuals can be the same or different. For example, among five target individuals, one target individual could have a different first item from the remaining four, two target individuals could have the same first item but a different first item from the other three, or all five target individuals could have different first items.

[0061] In one possible embodiment, the preset identity information database in step S13 can be obtained in the following way:

[0062] Obtain the correspondence between the target personnel's identity information and project information within a preset time period, and use this as the first correspondence;

[0063] Obtain the correspondence between project information and site information as a second correspondence;

[0064] Based on the first and second correspondences, the correspondence between the target personnel's identity information and the venue information within a preset time period is determined.

[0065] In some practical scenarios, the correspondence between target personnel identity information and project information within a preset time period is recorded in a first database, while the correspondence between project information and venue information is recorded in a second database. The first and second databases are independent of each other. Using the embodiment of this application, the first and second correspondences are obtained from the two different databases respectively, and then combined to obtain the correspondence between target personnel identity information and venue information within the preset time period. In this way, the venues that the target personnel are allowed to enter can be determined.

[0066] like Figure 2 As shown below, using a pre-set location as the project review venue, target personnel as disruptive participants, and target behavior as disruptive behavior of the participants as an example, we will explain how the corresponding relationships are established in this application:

[0067] By connecting with the participant database system, publicly available participant information data can be obtained. This data can be used to identify participants, such as their name and ID number, and to identify the projects they participated in, such as the project name and project number.

[0068] The system interfaces with the project review venue management system to obtain information on the arrangement of each venue within the project review venue and the project information for each project being reviewed. This information includes: the project name, project number, bid opening venue, bid opening time, project review venue, and project review time. By combining this project information with participant information, it's possible to determine which confidential areas each person has access to, such as the project review venue and bid opening venue. For example, if participant information indicates that person 1 is participating in a project review for project name A, and the project review venue for project name A is venue 1, then person 1, as a participant in this project review, should obviously have access to venue 1.

[0069] The system interfaces with the access control system of the project review venue to synchronize the identity data of the participants, obtain the identity information of the participants, and deploy identity verification equipment at the entrance of the participant channel of the project review venue to verify whether the participant's identity matches the identity document held by the participant. If they match, the participant is allowed to enter the entrance; if they do not match, the participant is denied entry.

[0070] By using the embodiments of this application, the first correspondence between the personnel identity information recorded in the participant system and the corresponding project information, and the second correspondence between the project information and the venue information recorded in the venue management system can be combined to obtain the correspondence between the identity information of the project review participants and the venue information, thereby determining the project review venue that the project review participants are allowed to enter.

[0071] Furthermore, in some potential real-world scenarios, when a target person appears in a non-public area without authorization, their behavior can be considered suspicious, potentially causing disturbance to other personnel within the designated area. Therefore, in one possible embodiment, the target person detection method provided in this application further includes the following steps:

[0072] The identity information of the person to be authenticated is obtained by an image acquisition device set in a non-public area of ​​the preset location;

[0073] Based on a pre-set identity information database, the identity information of the person to be authenticated is identified to obtain the identity to be authenticated.

[0074] Based on the correspondence between the target personnel's identity information and the venue information within a preset time period, determine the venue information corresponding to the personnel to be certified;

[0075] If the venue information corresponding to the identity of the person to be certified does not include the target venue area, then the identity of the person to be certified is determined to be the identity of the person who has engaged in the target behavior.

[0076] Non-public areas are areas within a pre-defined venue that are not fully open to all authorized personnel. For example, taking the aforementioned project review venue as an example, the first project review room only allows participants involved in the review of the first project to enter, and does not allow participants not involved in the review of the first project to enter. In this case, the first project review room is a non-public area.

[0077] The target venue area has pre-defined special access permissions; only personnel with the corresponding access permissions can enter. For example, if participant A is involved in the first project, and the corresponding venue is the first project review room, then participant A is authorized to enter the first project review room but not to enter other project review rooms. Similarly, if participant B is involved in the review of the second project, and the corresponding venue is the second project review room, then participant B is authorized to enter the second project review room but not to enter any other project review rooms.

[0078] In this embodiment of the application, images captured by an image acquisition device located in a non-public area of ​​a preset location are used for identity recognition. The identity information of the person to be authenticated in the non-public area is identified. Based on a preset identity information database, the site information corresponding to the identity information of the person to be authenticated is determined, thereby judging whether the person to be authenticated is authorized to enter the target site area that requires corresponding authorization. If the site information corresponding to the identity of the person to be authenticated does not include the target site area, it indicates that the person to be authenticated is unauthorized to enter the current target site and will interfere with other members within the current target site area. Therefore, the identity of the person to be authenticated can be determined as that of a person engaging in targeted behavior.

[0079] In addition to the aforementioned target person detection based on multi-person groups that meet preset number and distance conditions, in one possible embodiment, this application also provides the following target person detection method:

[0080] The identity information of the person to be authenticated is acquired by an image acquisition device set up in the public area of ​​the preset location, and the identity information is recorded.

[0081] Identify the individuals whose identity information is recorded more frequently than a preset frequency threshold, and use them as the identification of the individuals who engage in the target behavior.

[0082] In determining the frequency of recording the identity of a person to be authenticated, it is necessary to summarize and statistically analyze the images of the public area captured by various image acquisition devices within the public area. The statistics are based on the number of times the person to be authenticated was recorded within a preset time interval, tracing back from the current moment. During this process, if image acquisition devices in physically adjacent locations both capture images of the same person to be authenticated within the preset time interval, then the identity of that same person to be authenticated is recorded only once.

[0083] If the number of times a person to be authenticated is recorded within a preset time interval (based on the current time) exceeds a preset frequency threshold, it indicates that the person to be authenticated has lingered in public areas multiple times and exhibits behavior that disturbs other members. In this case, the identity of the lingering person can be confirmed as the person who engaged in targeted behavior.

[0084] Corresponding to the aforementioned method, this application also provides a target personnel detection device, such as... Figure 3 As shown, it includes:

[0085] Image acquisition module 31 is used to acquire images of public areas of a preset location; the preset location includes public areas and non-public areas;

[0086] The first determining module 32 is used to determine multiple groups in the public area image that meet preset number of people and distance conditions;

[0087] The identity information recognition module 33 is used to identify target personnel who meet the preset identity type from a group of multiple people based on a preset identity information database, and obtain the identity information of the target personnel.

[0088] The second determining module 34 is used to determine the project corresponding to each target person according to the preset correspondence between personnel identity and project, and to designate it as the first project;

[0089] The third determination module 35 is used to determine each target person as a person who has engaged in the target behavior if at least a preset number of target personnel correspond to different first items.

[0090] In one possible embodiment, the first determining module 32 is further configured to determine a group of multiple people that meets the preset number of people and distance conditions within a preset time period.

[0091] In one possible embodiment, the target personnel detection device provided in this application further includes:

[0092] The correspondence acquisition module 36 is used to acquire the correspondence between the target personnel identity information and project information within a preset time period as the first correspondence; acquire the correspondence between project information and site information as the second correspondence; and determine the correspondence between the target personnel identity information and site information within the preset time period based on the first and second correspondences.

[0093] The acquisition module 37 is used to acquire the identity information of the person to be authenticated by the image acquisition device set in a non-public area of ​​a preset location;

[0094] The identity information recognition module 33 is also used to recognize the identity information of the person to be certified based on the preset identity information database, so as to obtain the identity of the person to be certified.

[0095] The site information determination module 38 is used to determine the site information corresponding to the identity of the person to be certified according to the correspondence between the identity information of the target personnel and the site information within a preset time period.

[0096] The fourth determination module 39 is used to determine the identity of the person to be certified as the person who has engaged in the target behavior if the site information corresponding to the identity of the person to be certified does not include the target site area.

[0097] The acquisition module 37 is also used to acquire the identity information of the person to be authenticated by the image acquisition device set in the public area of ​​the preset location, and record the identity information;

[0098] The fifth determination module 40 is used to determine the identity of the lingering personnel whose identity information is recorded more frequently than a preset frequency threshold, and to identify the personnel who have committed the target behavior.

[0099] This application also provides an electronic device, such as... Figure 4 As shown, it includes:

[0100] Memory 41 is used to store computer programs;

[0101] When processor 42 executes the program stored in memory 41, it performs the following steps:

[0102] Acquire images of the public areas of a preset location; the preset location includes both public and non-public areas.

[0103] Identify groups of multiple people in public area images that meet preset number and distance criteria;

[0104] Based on a preset identity information database, target individuals matching the preset identity type are identified from a group of multiple people, and their identity information is obtained.

[0105] Based on the pre-defined correspondence between personnel identity and project, determine the project corresponding to each target personnel as the first project;

[0106] If at least a certain number of target personnel have different first items, then each target personnel is identified as a person who has engaged in the target behavior.

[0107] Furthermore, the aforementioned electronic device may also include a communication bus and / or a communication interface, with the processor 42, communication interface, and memory 41 communicating with each other via the communication bus.

[0108] The communication bus mentioned in the above electronic devices can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. This communication bus can be divided into address bus, data bus, control bus, etc. For ease of illustration, only one thick line is used to represent it in the diagram, but this does not mean that there is only one bus or one type of bus.

[0109] The communication interface is used for communication between the aforementioned electronic devices and other devices.

[0110] The memory may include random access memory (RAM) or non-volatile memory (NVM), such as at least one disk storage device. Optionally, the memory may also be at least one storage device located remotely from the aforementioned processor.

[0111] The processors mentioned above can be general-purpose processors, including central processing units (CPUs), network processors (NPs), etc.; they can also be digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.

[0112] This application also provides a target personnel detection system, such as Figure 5 As shown, it includes an image acquisition device 51 and a processor 52, wherein the image acquisition device 51 is installed in different locations;

[0113] Image acquisition device 51 is installed in the public area of ​​a preset location to acquire images of the public area and send them to processor 52. The preset location includes public and non-public areas. The first non-public area and the second non-public area correspond to public areas with different access permissions. For example, the first non-public area may be the first project review room, and the second non-public area may be the second project review room. Participants in the first project review are only authorized to enter the first project review room, and participants in the second project review are only authorized to enter the second project review room.

[0114] The processor 52 is used to receive public area images sent by the image acquisition device, identify multiple groups in the public area images that meet preset number of people and distance conditions; based on a preset identity information database, identify target personnel that meet preset identity types from the multiple groups and obtain the identity information of the target personnel; determine the corresponding item for each target personnel according to the preset correspondence between personnel identity and item, and take it as the first item; if at least a preset number of target personnel correspond to different first items, then each target personnel is identified as a person who has engaged in the target behavior.

[0115] Processor 52 is also used to identify multi-person groups that meet the preset number of people and distance conditions within a preset time period;

[0116] The default identity information database is obtained through the following methods:

[0117] Obtain the correspondence between the target personnel's identity information and project information within a preset time period, and use this as the first correspondence;

[0118] Obtain the correspondence between project information and site information as a second correspondence;

[0119] Based on the first and second correspondences, the correspondence between the target personnel's identity information and the venue information within the preset time period is determined.

[0120] The system also includes an image acquisition device 51 set up in a non-public area; the image acquisition device in the non-public area of ​​the preset location acquires the identity information of the person to be authenticated and sends it to the processor 52;

[0121] The processor 52 is also used to identify the identity information of the person to be certified based on a preset identity information database to obtain the identity of the person to be certified; determine the venue information corresponding to the identity of the person to be certified according to the correspondence between the identity information of the target person and the venue information within a preset time period; if the venue information corresponding to the identity of the person to be certified does not include the target venue area, then the identity of the person to be certified is determined to be the identity of the person who has engaged in the target behavior.

[0122] Image acquisition device 51 is also used to acquire the identity information of the person to be authenticated by the image acquisition device set in the public area of ​​the preset location, record the identity information and send it to the processor;

[0123] The processor 52 is also used to determine the identity of a lingering person whose identity information is recorded more frequently than a preset frequency threshold, and to identify the person who has committed the target behavior.

[0124] In another embodiment provided in this application, a computer-readable storage medium is also provided, which stores a computer program that, when executed by a processor, implements the steps of any of the target personnel detection methods described above.

[0125] In another embodiment provided in this application, a computer program product containing instructions is also provided, which, when run on a computer, causes the computer to perform any of the target personnel detection methods described above.

[0126] In the above embodiments, implementation can be achieved entirely or partially through software, hardware, firmware, or any combination thereof. When implemented using software, it can be implemented entirely or partially in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the processes or functions described in the embodiments of this application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that integrates one or more available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid state disk (SSD)).

[0127] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0128] The various embodiments in this specification are described in a related manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, for apparatuses, systems, computer-readable storage media, and computer program products, since they are basically similar to the method embodiments, the descriptions are relatively simple, and relevant parts can be referred to the descriptions of the method embodiments.

[0129] The above description is merely a preferred embodiment of this application and is not intended to limit the scope of protection of this application. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application are included within the scope of protection of this application.

Claims

1. A method of detecting a target person, characterized by, The method includes: Acquire images of the public areas of a predetermined location; the predetermined location includes both public and non-public areas. Identify groups of multiple people in the public area image that meet preset number and distance conditions, wherein the distance between two people in the group is less than a preset distance threshold. Based on a preset identity information database, target personnel matching a preset identity type are identified from the multi-person group, and the identity information of the target personnel is obtained; the preset identity type includes review participants. Based on the pre-defined correspondence between personnel identity and project, determine the project corresponding to each target personnel as the first project; If at least a preset number of the target personnel correspond to different first items, then each of the target personnel is determined as a person who has engaged in the target behavior.

2. The method according to claim 1, characterized in that, The process of determining multiple groups in the public area image that meet preset number and distance conditions includes: Identify groups of multiple people that meet the preset number of people and distance conditions within a preset time period.

3. The method according to claim 1 or 2, characterized in that, The preset identity information database is obtained through the following method: Obtain the correspondence between the target personnel's identity information and project information within a preset time period, and use this as the first correspondence; Obtain the correspondence between the project information and the site information, as a second correspondence; Based on the first correspondence and the second correspondence, the correspondence between the target personnel identity information and the venue information within the preset time period is determined.

4. The method according to claim 3, characterized in that, The method further includes: The identity information of the person to be authenticated is obtained by an image acquisition device set in a non-public area of ​​the preset location; Based on the preset identity information database, the identity information of the person to be authenticated is identified to obtain the identity of the person to be authenticated; Based on the correspondence between the target personnel's identity information and the venue information within the preset time period, determine the venue information corresponding to the identity of the person to be authenticated; If the venue information corresponding to the identity of the person to be certified does not include the target venue area, then the identity of the person to be certified is determined to be the identity of the person who has engaged in the target behavior.

5. The method according to claim 3, characterized in that, The method further includes: The identity information of the person to be authenticated is acquired by an image acquisition device set in the public area of ​​the preset location, and the identity information is recorded. The identities of stranded individuals whose identity information is recorded more frequently than a preset frequency threshold are identified as the identities of the individuals who engage in the target behavior.

6. A target personnel detection device, characterized in that, The device includes: The image acquisition module is used to acquire images of public areas within a preset location; the preset location includes both public and non-public areas. The first determining module is used to determine a group of multiple people in the public area image that meets the preset number of people and distance conditions, wherein the distance between two people in the group of multiple people is less than the preset distance threshold. The identity information recognition module is used to identify target personnel who match a preset identity type from the multi-person group based on a preset identity information database, and obtain the identity information of the target personnel; the preset identity type includes review participants. The second determining module is used to determine the project corresponding to each target person according to the preset correspondence between personnel identity and project, and to designate it as the first project; The third determining module is used to determine each of the target personnel as a person who has engaged in the target behavior if at least a preset number of the target personnel correspond to different first items.

7. The apparatus according to claim 6, characterized in that, The first determining module is further configured to determine a group of multiple people that meets the preset number of people and distance conditions within a preset time period; The device further includes: The correspondence acquisition module is used to acquire the correspondence between target personnel identity information and project information within a preset time period as a first correspondence; acquire the correspondence between the project information and site information as a second correspondence; and determine the correspondence between target personnel identity information and site information within the preset time period based on the first correspondence and the second correspondence. The acquisition module is used to acquire the identity information of the person to be authenticated obtained by the image acquisition device set in the non-public area of ​​the preset location; The identity information recognition module is also used to recognize the identity information of the person to be authenticated based on the preset identity information database, so as to obtain the identity of the person to be authenticated. The venue information determination module is used to determine the venue information corresponding to the identity of the person to be authenticated according to the correspondence between the identity information of the target person and the venue information within the preset time period. The fourth determination module is used to determine the identity of the person to be certified as the person who has engaged in the target behavior if the venue information corresponding to the identity of the person to be certified does not include the target venue area. The acquisition module is also used to acquire the identity information of the person to be authenticated by the image acquisition device set in the public area of ​​the preset location, and record the identity information; The fifth determination module is used to determine the identity of the stranded person whose identity information is recorded more frequently than a preset frequency threshold, and to identify the person who committed the target behavior.

8. An electronic device, characterized in that, include: Memory, used to store computer programs; A processor, when executing a program stored in memory, implements the method described in any one of claims 1-5.

9. A target personnel detection system, characterized in that, The system includes the electronic device of claim 8; the system further includes: An image acquisition device installed in a public area of ​​a predetermined location is used to acquire public area images of the public area of ​​the predetermined location and send them to the electronic device. An image acquisition device installed in a non-public area of ​​the preset location is used to acquire the identity information of the person to be authenticated by the image acquisition device in the non-public area of ​​the preset location, and send it to the electronic device.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the method described in any one of claims 1-5.

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