Positioning method and system based on the combination of video network and wireless network MR measurement

Abstract

This invention provides a positioning method and system based on a combination of video network and wireless network MR measurement. The method includes: determining the tracked object and the tracking task based on acquired tracked object information; determining whether the tracked object is simultaneously covered by both a video surveillance network and a wireless network; if so, first performing positioning and tracking of the tracked object through the video surveillance network according to the tracking task; when it is detected that the tracked object is not covered by a video surveillance network, activating the wireless network MR measurement function to perform positioning and tracking of the tracked object; when it is detected that the tracked object is covered by a video surveillance network again, activating the video surveillance function to perform positioning and tracking of the tracked object. This invention, by using a combination of wireless network and video surveillance network for positioning and tracking of the tracked object, has advantages such as real reliability, high accuracy, low load, and high efficiency.

Description

Technical Field

[0001] The present invention relates to the field of communication technology, and in particular to a positioning method and system based on the combination of video network and wireless network MR measurement. Background Art

[0002] With the development of science and technology, the application of precise positioning and tracking technology is becoming more and more extensive. For special professional groups, sensitive groups, mobile robots or unmanned equipment such as express robots, real and accurate positioning and tracking are very important when monitoring them or operating in related industries.

[0003] Existing precise positioning and tracking are usually achieved using video networks or wireless networks. The former has the problems of discontinuity, limited positioning and tracking area, high overhead, and high bandwidth requirements for real-time traffic transmission. The latter has the problem of being unable to determine the true identity of the positioning and tracking object, and the long-term activation of the MR measurement and positioning function consumes a lot of wireless networks and terminal equipment. Summary of the invention

[0004] The present invention provides a positioning method and system based on the combination of video network and wireless network MR measurement, which is used to solve the problems existing in the prior art using video network or wireless network, and realize accurate positioning based on the combination of video network and wireless network MR measurement.

[0005] The present invention provides a positioning method based on the combination of video network and wireless network MR measurement, the method comprising:

[0006] Determine the tracked object and the tracking task according to the acquired tracked object information;

[0007] Determine whether the tracked object is covered by both the video surveillance network and the wireless network, and if so, first locate and track the tracked object through the video surveillance network according to the tracking task;

[0008] When it is detected that the tracked object is not covered by the video surveillance network, the wireless network MR measurement function is started to locate and track the tracked object;

[0009] When it is detected that the tracked object is covered by the video surveillance network again, the video surveillance function is started to locate and track the tracked object.

[0010] According to the positioning method based on the combination of video network and wireless network MR measurement of the present invention, the step of determining the tracked object and the tracking task according to the acquired tracked object information includes:

[0011] Acquire the tracked object information through network registration information, wherein the tracked object information includes a first photo of the tracked object;

[0012] The second photo of the current object to be monitored is obtained and verified with the first photo of the object to be tracked that is stored in advance, and after the verification, the identity information of the object to be monitored is determined and the object to be monitored is determined as the object to be tracked, wherein the second photo is captured by a camera of a video surveillance network or a camera of a wireless network;

[0013] A matching relationship is established between the tracked object and the terminal device held by the tracked object, and a tracking task is determined. The tracking task includes one or more combined monitoring tasks for a certain day, a certain time period, or a certain area of ​​the tracked object. The terminal device is used to access a video surveillance network and / or a wireless network.

[0014] According to the positioning method based on the combination of video network and wireless network MR measurement of the present invention, the step of determining whether the tracked object is covered by both the video surveillance network and the wireless network is to first locate and track the tracked object through the video surveillance network according to the tracking task, including:

[0015] Determine whether the initial position is covered by both the video surveillance network and the wireless network, and if so, determine the initial position of the tracked object after verifying the identity information of the tracked object through the video surveillance network and the wireless network;

[0016] Based on the initial position, the video surveillance network performs positioning and tracking on the tracked object.

[0017] According to the positioning method based on the combination of video network and wireless network MR measurement of the present invention, when it is detected that the tracked object has no video surveillance network coverage, the wireless network MR measurement function is started to locate and track the tracked object, including:

[0018] It is determined whether the current position of the tracked object is a key monitoring area. If yes, the wireless network MR measurement function is started to locate and track the tracked object. Otherwise, the wireless network MR measurement function is turned off and the tracked object is located and tracked only through the wireless network.

[0019] According to the positioning method based on the combination of video network and wireless network MR measurement of the present invention, when it is monitored that the tracked object is covered by the video surveillance network again, the video surveillance function is started to locate and track the tracked object, including:

[0020] After the identity information of the tracked object is verified through the video surveillance network and the wireless network, the video surveillance network locates and tracks the tracked object.

[0021] According to the positioning method based on the combination of video network and wireless network MR measurement of the present invention, when it is monitored that the tracked object is covered by the video surveillance network again, the video surveillance function is started to locate and track the tracked object, and the method further includes:

[0022] When the identity information of the tracked object fails to be verified through the video surveillance network and the wireless network, an alarm function is started, and the inconsistent identity information of the tracked object is fed back to the server.

[0023] According to the positioning method based on the combination of video network and wireless network MR measurement of the present invention, the method further includes:

[0024] When the tracked object is in the position tracking of the video surveillance network, the identity information of the tracked object is verified every preset time period.

[0025] The present invention also provides a positioning system based on the combination of video network and wireless network MR measurement, the system comprising:

[0026] A determination module, used to determine the tracked object and the tracking task according to the acquired tracked object information;

[0027] A tracking module, used to determine whether the tracked object is covered by both the video surveillance network and the wireless network, and if so, first locate and track the tracked object through the video surveillance network according to the tracking task;

[0028] When it is detected that the tracked object is not covered by the video surveillance network, the tracking module starts the wireless network MR measurement function to locate and track the tracked object;

[0029] When it is detected that the tracked object is covered by the video surveillance network again, the tracking module starts the video surveillance function to locate and track the tracked object.

[0030] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the steps of the positioning method based on combining video network and wireless network MR measurement as described above are implemented.

[0031] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of any of the above-mentioned positioning methods based on combining video network and wireless network MR measurements.

[0032] The positioning method and system based on the combination of video network and wireless network MR measurement provided by the present invention performs positioning and tracking on the tracked object by combining the wireless network with the video monitoring network, and has the advantages of authenticity, reliability, high precision, small load, accuracy and efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to more clearly illustrate the technical solutions in the present invention or the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0034] Figure 1 It is a structural diagram of positioning and tracking through a video surveillance network in the prior art;

[0035] Figure 2 It is a structural diagram of positioning and tracking through a wireless network in the prior art;

[0036] Figure 3 It is a flow chart of a positioning method based on the combination of video network and wireless network MR measurement provided by the present invention;

[0037] Figure 4 It is a flowchart of determining a tracked object and a tracking task provided by the present invention;

[0038] Figure 5 It is a schematic diagram of the process of positioning and tracking in the video surveillance network provided by the present invention;

[0039] Figure 6 It is a schematic diagram of the process of positioning and tracking in a wireless network provided by the present invention;

[0040] Figure 7 It is a schematic diagram of a flow chart of identity verification of a tracked object provided by the present invention;

[0041] Figure 8 It is a flow chart of a positioning method based on combining video network and wireless network MR measurement according to an embodiment of the present invention;

[0042] Fig. 9 It is a structural schematic diagram of a positioning system based on the combination of video network and wireless network MR measurement provided by the present invention;

[0043] Fig.10 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0044] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0045] The terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the numbers used in this way can be interchanged where appropriate, so that the embodiments described herein can be implemented in an order other than that shown or described herein.

[0046] In practical applications, the targets that need to be located and tracked generally include:

[0047] The first is to monitor the whereabouts of sensitive personnel in real life to prevent the monitored subjects from interfering with the monitoring task by transferring through terminal devices (such as mobile devices).

[0048] The second type is to monitor the accuracy and integrity of industrial robots or equipment, where the monitored unit is separated from the main body of the equipment, and cannot truly reflect the complete situation of the robot and equipment operation.

[0049] In order to locate and track the above targets, it is mainly carried out through video surveillance networks or wireless networks.

[0050] Figure 1 This is a structural diagram of the existing technology of positioning and tracking through a video surveillance network, as shown in the figure. When tracking sensitive personnel through a video surveillance network, the real whereabouts of the person being positioned and tracked can only be monitored in real time within the scope of the video surveillance network. Outside the scope of the video surveillance network, the behavior of the monitored object (i.e. the tracked object) cannot be tracked. In actual situations, the video surveillance network is often of a very limited range, and the coverage area between video surveillance networks is not continuous. Usually, certain cameras are set up for monitoring at key checkpoints, etc., so it is difficult to completely locate and track the real position and trajectory of the tracked object.

[0051] Figure 2This is a structural diagram of the prior art of positioning and tracking through wireless networks, as shown in the figure. When positioning and tracking sensitive personnel through wireless networks (such as mobile communication networks, etc.), because it is impossible to determine whether the real person is being tracked, it can only be positioned and tracked through the terminal device (mobile device) carried by the tracked object. If the tracked object has anti-tracking awareness, it is easy to get rid of the tracking. At the same time, the tracking and positioning accuracy is very low if the signal of the wireless network occupies the cell for tracking. If more accurate positioning and tracking are required through wireless signals, the MR measurement report function of the mobile network device needs to be enabled. However, if the MR measurement report function is turned on for a long time during tracking of the network, the resources of the mobile device and the network are greatly consumed. Generally, the MR measurement report function is turned off in wireless networks.

[0052] Therefore, under the above-mentioned existing technical solutions, since there are certain defects in using a video surveillance network alone or a wireless network alone to locate and track sensitive objects, the present invention proposes a positioning method based on the combination of video network and wireless network MR measurement. It can solve several problems of the existing technology:

[0053] First, the video network is discontinuous and the positioning and tracking area is limited.

[0054] Second, video network overhead is high, and real-time transmission of traffic requires high bandwidth.

[0055] Third, wireless networks cannot determine the true identity of the tracked object.

[0056] Fourth, turning on the MR measurement and positioning function of the wireless network for a long time consumes a lot of the wireless network and terminal equipment, increasing network and equipment expenses.

[0057] Combine the following Figure 3-Figure 10 The present invention describes a positioning method and system based on the combination of video network and wireless network MR measurement.

[0058] Figure 3 The flowchart of the positioning method based on the combination of video network and wireless network MR measurement provided by the present invention is shown in the figure. A positioning method based on the combination of video network and wireless network MR measurement, the method comprising:

[0059] Step 301: Determine the tracked object and the tracking task according to the acquired tracked object information.

[0060] Preferably, the tracked object information may be stored in the monitoring system platform in the form of a directory list and may be read through a wireless network. The tracked object information includes identity information of the tracked object, such as a photo of the tracked object.

[0061] Preferably, the tracked object is a sensitive person or industry application equipment (such as an industry robot, a shared bicycle, etc.).

[0062] The tracking task includes, but is not limited to, a monitoring task for a certain day, a certain period of time, or a certain area of ​​the tracked object.

[0063] Step 302: When it is determined that the tracked object is covered by both the video surveillance network and the wireless network, the tracked object is first located and tracked through the video surveillance network according to the tracking task.

[0064] Preferably, by judging whether the video surveillance network and the wireless network are covered at the same time, it is helpful to verify the identity of the tracked object through the video surveillance network, and after the verification, the tracked object is located and tracked according to the tracking task through the video surveillance network.

[0065] Preferably, if both the video surveillance network and the wireless network are not covered at the same time, that is, only the video surveillance network or only the wireless network is covered. If only the video surveillance network is covered, the tracked object is located and tracked through the video surveillance network according to the tracking task; if only the wireless network is covered, step 303 is executed.

[0066] Step 303: when it is detected that the tracked object is not covered by the video surveillance network, the wireless network MR measurement function is started to locate and track the tracked object.

[0067] After the identity of the tracked object is verified, the wireless network MR measurement function is started to locate and track the tracked object, which can enhance the accuracy requirement of the monitoring performance relying on the wireless network.

[0068] MR (Measurement Report) refers to information sent every 480ms on the service channel (470ms on the signaling channel). This data can be used for network evaluation and optimization. MR measurement reports are completed by MS and BTS. MS executes and reports the downlink level strength, quality and TA of the GSM cell, and BTS executes and reports the measurement of the uplink MS reception level strength and quality. The processing of measurement reports is completed in BSC (when the BTS preprocessing method is adopted, the measurement report processing can be moved down to BTS for completion), providing basic filtering, interpolation and other functions, providing basic input for subsequent switching decision algorithms, and is the basis for switching decision algorithms and power control algorithms.

[0069] Step 304: when it is detected that the tracked object is covered by the video surveillance network again, the video surveillance function is started to locate and track the tracked object.

[0070] Preferably, when the video surveillance network is monitored again, the identity information of the tracked object needs to be verified, and after the verification is passed, the video surveillance function is activated to locate and track the tracked object. By verifying the identity information of the tracked object again, it is beneficial to improve the accuracy of positioning and tracking, and ensure the authenticity and reliability of the tracked object during the monitoring process.

[0071] Preferably, according to system requirements, when the tracked object is in the positioning tracking of the video surveillance network, in addition to setting the identity information of the tracked object to be verified each time it enters a different video surveillance network, the identity information of the tracked object can also be set to be verified every preset time period. Therefore, by verifying the identity information of the tracked object, the authenticity and reliability of the tracked object during the monitoring process can be enhanced.

[0072] The above steps 301 to 304 are described in detail below.

[0073] Figure 4 The flowchart of determining the tracked object and the tracking task provided by the present invention is shown in the figure. In the above step 301, the tracked object and the tracking task are determined according to the acquired tracked object information, including:

[0074] Step 401: Acquire information of a tracked object through network registration information, wherein the tracked object information includes a first photo of the tracked object.

[0075] Preferably, the identity information of the tracked objects (such as sensitive personnel, industrial robots, shared bicycles, etc.) is listed and imported into the platform of the monitoring system.

[0076] Step 402: Verify the acquired second photo of the current object to be monitored with the pre-stored first photo of the object to be tracked, and after verification, determine the identity information of the object to be monitored and determine the object to be monitored as the object to be tracked.

[0077] Preferably, the second photo is captured by a camera of a video surveillance network or by a camera of a wireless network.

[0078] Preferably, the object to be monitored is a head portrait obtained by a camera, and the head portrait of the object to be monitored needs to be verified before it can be confirmed that the monitored object is the tracked object.

[0079] Step 403: Establish a matching relationship between the tracked object and the terminal device held by the tracked object, and determine a tracking task.

[0080] Preferably, the tracking task includes one or more combined monitoring tasks for a certain day, a certain period of time, or a certain area of ​​the tracked object, and the terminal device is used to access a video monitoring network and / or a wireless network.

[0081] Preferably, by accessing the wireless network (mobile network) and the video surveillance network through the terminal device of the tracked object (such as a mobile phone, a sensor of a shared bicycle, etc.), it is possible to determine whether there is a video surveillance network signal or a wireless network signal in the current area.

[0082] Preferably, the monitoring task is not limited to the above-mentioned monitoring task of a certain day, a certain period of time, or a certain area of ​​the tracked object.

[0083] Figure 5 The flowchart of the video surveillance network provided by the present invention for positioning and tracking is shown in the figure. In the above step 302, the determination of whether the tracked object is covered by both the video surveillance network and the wireless network is performed. If yes, the tracked object is first positioned and tracked through the video surveillance network according to the tracking task, including:

[0084] Step 501: When it is determined that the initial position is covered by both the video surveillance network and the wireless network, the initial position of the tracked object is determined after the identity information of the tracked object is verified through the video surveillance network and the wireless network.

[0085] Preferably, the identity information of the object to be monitored can be verified by capturing a photo of the object to be monitored through the camera of the video network video and matching it with the photo of the tracked object in the registration information. After the verification is passed, it can be determined that the object to be monitored is the tracked object, and the initial position of the tracked object can be determined.

[0086] Step 502: Based on the initial position, the video surveillance network performs positioning and tracking on the tracked object.

[0087] Therefore, the combination of wireless network and video surveillance network can locate the real identity information of the currently tracked object and improve the accuracy of positioning and tracking.

[0088] Figure 6 The flowchart of the wireless network provided by the present invention for positioning and tracking is shown in the figure. In the above step 303, when it is detected that the tracked object is not covered by the video surveillance network, the wireless network MR measurement function is started to position and track the tracked object, including:

[0089] Step 601: determine whether the current position of the tracked object is a key monitoring area.

[0090] Step 602: Start the wireless network MR measurement function to perform positioning and tracking on the tracked object.

[0091] Step 603: otherwise, the wireless network MR measurement function is turned off, and the tracked object is positioned and tracked only through the wireless network.

[0092] Since the initial position of the tracked object is covered by both the wireless network and the video surveillance network, due to the discontinuity of the video surveillance network, when no video surveillance network is detected, it is necessary to determine whether the current position of the tracked object is a key surveillance area (i.e., a critical area).

[0093] If the key monitoring area is an area that needs to be monitored, that is, an area that needs to be monitored, it is necessary to start the wireless network MR measurement function to locate and track the tracked object. If the key monitoring area is not an area that needs to be monitored, that is, an area that does not need to be monitored, the wireless network MR measurement function can be turned off, and the tracked object is located and tracked only through the wireless network (such as a wireless network cell signal).

[0094] By using the video surveillance network or wireless network MR measurement and reporting function to enable precise positioning in key areas, the accuracy of positioning and tracking can be enhanced. By using the video surveillance network or wireless network MR measurement and reporting function to disable it in non-critical areas and only using traditional wireless network positioning and tracking, the load on the video surveillance network and wireless network monitoring can be reduced.

[0095] Figure 7 The flowchart of the identity verification of the tracked object provided by the present invention is shown in the figure. In the above step 304, when the tracked object is detected to be covered by the video surveillance network again, the video surveillance function is started to locate and track the tracked object, including:

[0096] Step 701: After the identity information of the tracked object is verified through the video surveillance network and the wireless network, the video surveillance network locates and tracks the tracked object.

[0097] Step 702: When the identity information of the tracked object fails to be verified through the video surveillance network and the wireless network, an alarm function is activated, and the inconsistent identity information of the tracked object is fed back to the server.

[0098] By using the wireless network and video surveillance network to check whether the currently monitored object is abnormal, for example, if the abnormal situation is that the identity information verification is inconsistent, the alarm function is activated and feedback is given to the server or management system.

[0099] Furthermore, when the tracked object is in the location tracking of the video surveillance network, it can be set to verify the identity information of the tracked object every preset time period.

[0100] Through the combination of wireless network and video surveillance network, monitoring and verification are carried out, the matching of the tracked object and the terminal device it carries is verified, the matching results are fed back in time, and abnormal situations in the monitoring task are reported in time, which is more accurate and efficient.

[0101] In summary, the positioning method based on the combination of video network and wireless network MR measurement provided by the present invention can enhance the real reliability of the tracked object during the monitoring process, and enhance the accuracy requirements of monitoring performance relying on any one monitoring network, and through the adjustment of monitoring means in non-critical areas, it greatly reduces the task load of relying on a single monitoring source of a video network or a wireless network, and through the combined monitoring and verification of the wireless network and the video monitoring network, the matching verification of the tracked object and the terminal device it carries is carried out, and the matching results are fed back in time, so that the reporting of abnormal situations in the monitoring task process is more timely, accurate and efficient.

[0102] Figure 8 The flowchart of a positioning method based on the combination of video network and wireless network MR measurement according to an embodiment of the present invention is shown in the figure. A positioning method based on the combination of video network and wireless network MR measurement includes:

[0103] Step 801, initialization preparation, includes: first, determining the tracked object; second, matching the tracked object (such as the appearance of a sensitive person or the appearance of industrial equipment) with the carried mobile terminal (ie, terminal device).

[0104] Preferably, the identity information of the tracked object is determined by judging whether the appearance of the sensitive person or the device photo matches the terminal registration information.

[0105] Step 802, starting the positioning and tracking function, including: first, determining the current location area according to the mobile terminal signal carried by the tracked object; second, opening the wireless network MR measurement report function.

[0106] Preferably, the mobile terminal receives the occupied network base station signal information (including the latitude and longitude of the mobile terminal user and other information) and can determine the location of the tracked object.

[0107] Preferably, the MR measurement report is a function of a mobile network base station device and can be turned on by sending a command through the system.

[0108] Step 803, determine whether there is a video surveillance network at the initial location.

[0109] Preferably, the video surveillance network can obtain its coverage area and site location information.

[0110] Step 804: If the tracked object is not within the video surveillance network range, the tracking is performed by positioning the object through the wireless network cell signal function, and a determination is continued as to whether the object has entered the video network surveillance range.

[0111] Step 805: If the tracked object is within the range of the video surveillance network, the real identity and location of the tracked object are verified, and the current location video surveillance function is accessed according to the positioning provided by the wireless network.

[0112] Step 806: Verify the real identity of the tracked object and compare it with the initialization object to determine whether they are consistent.

[0113] Step 807 , if not consistent, continue to perform wireless network cell signal function positioning tracking; and jump to step 809 .

[0114] Step 808: If the comparison result is judged to be consistent, the wireless network tracking is continued. In non-key areas, the MR measurement report precise positioning function can be turned off according to the tracking accuracy requirements, and positioning and tracking are performed through the wireless network cell signal function.

[0115] Step 809, start the alarm function, feedback the inconsistency between the tracked object and the real identity, and then jump to the end of the tracking task.

[0116] Step 810, video network or wireless network tracking in key areas. When entering a key area, if it is within the range of the video surveillance network, the video surveillance function is turned on in time; if it is outside the range of the video surveillance network, the wireless network MR measurement report function is immediately turned on for precise positioning.

[0117] Step 811, during the process of continued positioning and monitoring, the identity information of the tracked object is continuously verified. If the object is monitored via the wireless network for a long time and re-enters the video network range, the tracked object needs to be verified again with the mobile terminal.

[0118] Step 812: If there are no other abnormal situations, continue to implement the tracking task plan until it ends.

[0119] The following describes the positioning system based on the combination of video network and wireless network MR measurement provided by the present invention. The positioning system based on the combination of video network and wireless network MR measurement described below and the positioning method based on the combination of video network and wireless network MR measurement described above can be referenced to each other.

[0120] Fig. 9The structure diagram of the positioning system based on the combination of video network and wireless network MR measurement provided by the present invention is shown in the figure. A positioning system 900 based on the combination of video network and wireless network MR measurement, the system includes a determination module 910 and a tracking module 920, wherein:

[0121] The determination module 910 is used to determine the tracked object and the tracking task according to the acquired tracked object information.

[0122] The tracking module 920 is used to determine whether the tracked object is covered by both the video surveillance network and the wireless network. If so, the tracked object is first located and tracked through the video surveillance network according to the tracking task.

[0123] When it is detected that the tracked object is not covered by the video surveillance network, the tracking module starts the wireless network MR measurement function to locate and track the tracked object;

[0124] When it is detected that the tracked object is covered by the video surveillance network again, the tracking module starts the video surveillance function to locate and track the tracked object.

[0125] Preferably, the determining module 910 is further configured to perform the following steps:

[0126] Acquire the tracked object information through network registration information, wherein the tracked object information includes a first photo of the tracked object;

[0127] The second photo of the current object to be monitored is obtained and verified with the first photo of the object to be tracked that is stored in advance, and after the verification, the identity information of the object to be monitored is determined and the object to be monitored is determined as the object to be tracked, wherein the second photo is captured by a camera of a video surveillance network or a camera of a wireless network;

[0128] A matching relationship is established between the tracked object and the terminal device held by the tracked object, and a tracking task is determined. The tracking task includes one or more combined monitoring tasks for a certain day, a certain time period, or a certain area of ​​the tracked object. The terminal device is used to access a video surveillance network and / or a wireless network.

[0129] Preferably, the tracking module 920 is further configured to perform the following steps:

[0130] Determine whether the initial position is covered by both the video surveillance network and the wireless network, and if so, determine the initial position of the tracked object after verifying the identity information of the tracked object through the video surveillance network and the wireless network;

[0131] Based on the initial position, the video surveillance network performs positioning and tracking on the tracked object.

[0132] Preferably, the tracking module 920 is further configured to perform the following steps:

[0133] It is determined whether the current position of the tracked object is a key monitoring area. If yes, the wireless network MR measurement function is started to locate and track the tracked object. Otherwise, the wireless network MR measurement function is turned off and the tracked object is located and tracked only through the wireless network.

[0134] Preferably, the tracking module 920 is further configured to perform the following steps:

[0135] After the identity information of the tracked object is verified through the video surveillance network and the wireless network, the video surveillance network locates and tracks the tracked object.

[0136] Preferably, the tracking module 920 is further configured to perform the following steps:

[0137] When the identity information of the tracked object fails to be verified through the video surveillance network and the wireless network, an alarm function is started, and the inconsistent identity information of the tracked object is fed back to the server.

[0138] Preferably, the tracking module 920 is further configured to perform the following steps:

[0139] When the tracked object is in the position tracking of the video surveillance network, the identity information of the tracked object is verified every preset time period.

[0140] Fig.10 An example of a physical structure diagram of an electronic device is shown in FIG. Fig.10 As shown, the electronic device may include: a processor 810, a communication interface 820, a memory 830 and a communication bus 840, wherein the processor 810, the communication interface 820 and the memory 830 communicate with each other through the communication bus 840. The processor 810 may call the logic instructions in the memory 830 to execute the positioning method based on the combination of video network and wireless network MR measurement, including:

[0141] Determine the tracked object and the tracking task according to the acquired tracked object information;

[0142] Determine whether the tracked object is covered by both the video surveillance network and the wireless network, and if so, first locate and track the tracked object through the video surveillance network according to the tracking task;

[0143] When it is detected that the tracked object is not covered by the video surveillance network, the wireless network MR measurement function is started to locate and track the tracked object;

[0144] When it is detected that the tracked object is covered by the video surveillance network again, the video surveillance function is started to locate and track the tracked object.

[0145] In addition, the logic instructions in the above-mentioned memory 830 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the 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 a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform 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 codes.

[0146] On the other hand, the present invention further provides a computer program product, the computer program product comprising a computer program stored on a non-transitory computer-readable storage medium, the computer program comprising program instructions, and when the program instructions are executed by a computer, the computer can execute the positioning method based on the combination of video network and wireless network MR measurement provided by the above methods, including:

[0147] Determine the tracked object and the tracking task according to the acquired tracked object information;

[0148] Determine whether the tracked object is covered by both the video surveillance network and the wireless network, and if so, first locate and track the tracked object through the video surveillance network according to the tracking task;

[0149] When it is detected that the tracked object is not covered by the video surveillance network, the wireless network MR measurement function is started to locate and track the tracked object;

[0150] When it is detected that the tracked object is covered by the video surveillance network again, the video surveillance function is started to locate and track the tracked object.

[0151] In another aspect, the present invention further provides a non-transitory computer-readable storage medium having a computer program stored thereon, which is implemented when the computer program is executed by a processor to perform the positioning method based on the combination of video network and wireless network MR measurement provided above, including:

[0152] Determine the tracked object and the tracking task according to the acquired tracked object information;

[0153] Determine whether the tracked object is covered by both the video surveillance network and the wireless network, and if so, first locate and track the tracked object through the video surveillance network according to the tracking task;

[0154] When it is detected that the tracked object is not covered by the video surveillance network, the wireless network MR measurement function is started to locate and track the tracked object;

[0155] When it is detected that the tracked object is covered by the video surveillance network again, the video surveillance function is started to locate and track the tracked object.

[0156] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0157] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0158] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A positioning method based on the combination of video network and wireless network MR measurement, characterized in that: The method comprises: Determine the tracked object and the tracking task according to the acquired tracked object information; Determine whether the tracked object is covered by both the video surveillance network and the wireless network, and if so, first locate and track the tracked object through the video surveillance network according to the tracking task; When it is detected that the tracked object is not covered by the video surveillance network, the wireless network MR measurement function is started to locate and track the tracked object; When it is detected that the tracked object is covered by the video surveillance network again, the video surveillance function is started to locate and track the tracked object; When it is detected that the tracked object is not covered by the video surveillance network, the wireless network MR measurement function is started to locate and track the tracked object, including: It is determined whether the current position of the tracked object is a key monitoring area. If yes, the wireless network MR measurement function is started to locate and track the tracked object. Otherwise, the wireless network MR measurement function is turned off and the tracked object is located and tracked only through the wireless network.

2. The positioning method based on the combination of video network and wireless network MR measurement according to claim 1 is characterized in that: The step of determining the tracked object and the tracking task according to the acquired tracked object information includes: Acquire the tracked object information through network registration information, wherein the tracked object information includes a first photo of the tracked object; The second photo of the current object to be monitored is obtained and verified with the first photo of the object to be tracked that is stored in advance, and after the verification, the identity information of the object to be monitored is determined and the object to be monitored is determined as the object to be tracked, wherein the second photo is captured by a camera of a video surveillance network or a camera of a wireless network; A matching relationship is established between the tracked object and the terminal device held by the tracked object, and a tracking task is determined. The tracking task includes one or more combined monitoring tasks for a certain day, a certain time period, or a certain area of ​​the tracked object. The terminal device is used to access a video surveillance network and / or a wireless network.

3. The positioning method based on the combination of video network and wireless network MR measurement according to claim 1 is characterized in that: The determining whether the tracked object is covered by both the video surveillance network and the wireless network, and if so, first locating and tracking the tracked object through the video surveillance network according to the tracking task, includes: Determine whether the initial position is covered by both the video surveillance network and the wireless network. If so, verify the identity information of the tracked object through the video surveillance network and the wireless network to determine the initial position of the tracked object. Based on the initial position, the video surveillance network performs positioning and tracking on the tracked object.

4. The positioning method based on the combination of video network and wireless network MR measurement according to claim 1 is characterized in that: When it is detected that the tracked object is covered by the video surveillance network again, the video surveillance function is started to locate and track the tracked object, including: After the identity information of the tracked object is verified through the video surveillance network and the wireless network, the video surveillance network locates and tracks the tracked object.

5. The positioning method based on the combination of video network and wireless network MR measurement according to claim 4 is characterized in that: When it is detected that the tracked object is covered by the video surveillance network again, the video surveillance function is started to locate and track the tracked object, and the method further includes: When the identity information of the tracked object fails to be verified through the video surveillance network and the wireless network, an alarm function is started, and the inconsistent identity information of the tracked object is fed back to the server.

6. The positioning method based on the combination of video network and wireless network MR measurement according to claim 1 is characterized in that: The method further comprises: When the tracked object is in the position tracking of the video surveillance network, the identity information of the tracked object is verified every preset time period.

7. A positioning system based on the combination of video network and wireless network MR measurement, characterized in that: The system comprises: A determination module, used to determine the tracked object and the tracking task according to the acquired tracked object information; A tracking module, used to determine whether the tracked object is covered by both the video surveillance network and the wireless network, and if so, first locate and track the tracked object through the video surveillance network according to the tracking task; When it is detected that the tracked object is not covered by the video surveillance network, the tracking module starts the wireless network MR measurement function to locate and track the tracked object; When it is detected that the tracked object is covered by the video surveillance network again, the tracking module starts the video surveillance function to locate and track the tracked object; When it is detected that the tracked object is not covered by the video surveillance network, the wireless network MR measurement function is started to locate and track the tracked object, including: It is determined whether the current position of the tracked object is a key monitoring area. If yes, the wireless network MR measurement function is started to locate and track the tracked object. Otherwise, the wireless network MR measurement function is turned off and the tracked object is located and tracked only through the wireless network.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, the steps of the positioning method based on the combination of video network and wireless network MR measurement are implemented as described in any one of claims 1 to 6.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the positioning method based on combining video network and wireless network MR measurement are implemented as described in any one of claims 1 to 6.

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