Abnormal personnel tracking method, system, computer device and storage medium

Abstract

The present application relates to an abnormal person tracking method, system, computer device and computer-readable storage medium, which confirms whether there are abnormal persons on public transportation by using facial images captured by cameras on public transportation and facial images stored in a facial database of abnormal persons; if it is confirmed that there are abnormal persons on public transportation, the driving information of the public transportation and the patrol information of patrol personnel whose distance from the public transportation is within a preset distance range are obtained, and the best interception point is calculated based on the driving information and patrol information, and the patrol personnel are instructed to arrive at the best interception point to intercept the abnormal person. The present application effectively improves the tracking efficiency of abnormal persons on public transportation by calculating the best interception point when confirming that there are abnormal persons on public transportation, and instructing patrol personnel whose distance from the public transportation is within a preset distance range to arrive at the best interception point in time to intercept the abnormal person.

Description

Technical Field

[0001] The present application relates to the field of security technology, and in particular to an abnormal personnel tracking method, system, computer device and computer-readable storage medium. Background Art

[0002] With the development of economy and the acceleration of urban construction, the mobility of population is becoming more and more frequent, which leads to many security problems. Although there are some security measures in railway stations, airports, long-distance bus stations, etc., which can identify abnormal persons by identity verification and play a role in security prevention. However, in the prior art, it is difficult to set up identity verification devices at the boarding points of public transportation such as buses and subways, resulting in blind spots in security inspection, which in turn makes it impossible to efficiently track abnormal persons on public transportation.

[0003] With regard to the problem of low efficiency in tracking abnormal persons on public transportation in related technologies, no effective solution has been proposed so far. Summary of the invention

[0004] Based on this, it is necessary to provide an abnormal personnel tracking method, system, computer device and computer-readable storage medium to address the above technical problems, so as to solve the problem of waste of human resources in related technologies.

[0005] In a first aspect, the present application embodies an abnormal person tracking method for tracking abnormal persons traveling by public transportation, the method comprising the following steps:

[0006] Based on the facial images captured by the cameras on the public transportation and the facial images stored in the abnormal person face database, confirming whether the abnormal person exists on the public transportation;

[0007] If it is confirmed that the abnormal person exists on the public transportation, the driving information of the public transportation and the patrol information of the patrol personnel whose distance from the public transportation is within a preset distance range are obtained, the optimal interception point is calculated based on the driving information and the patrol information, and the patrol personnel are instructed to arrive at the optimal interception point to intercept the abnormal person.

[0008] In some embodiments, after confirming that the abnormal person exists on the public transportation, the method further includes:

[0009] According to the location distribution information of the patrol personnel and the current location information of the public transportation, a warning message is pushed to the terminal device of the patrol personnel within the preset distance range from the public transportation.

[0010] In some embodiments, the confirming whether the abnormal person exists on the public transportation based on the facial image captured by the camera on the public transportation and the facial image stored in the abnormal person face database includes the following steps:

[0011] Acquire in real time facial images captured by cameras at various entrances and exits of the public transportation and inside the vehicle;

[0012] Performing a similarity comparison between the acquired facial image captured by the camera on the public transportation and the facial image stored in the abnormal person facial database;

[0013] If there is a target image whose similarity is greater than the set similarity threshold, the person corresponding to the target image is confirmed as an abnormal person.

[0014] In some embodiments, the driving information includes the driving route of the public transportation and the time when the public transportation arrives at each scheduled stop; the patrol information includes the current location information of the patrol personnel and the moving speed of the patrol personnel.

[0015] In some embodiments, the method of performing a similarity comparison between the acquired facial image captured by the camera on the public transportation and the facial image stored in the abnormal person facial database comprises the following steps:

[0016] A plurality of facial images of the same person captured by the camera on the public transportation are acquired in real time, and a clearest facial image is selected from the plurality of facial images for similarity comparison with the facial images stored in the abnormal person facial database.

[0017] In some embodiments, after instructing the patrol personnel to arrive at the optimal interception point to intercept the abnormal person, the method further includes:

[0018] Before the patrol personnel arrive at the optimal interception point, judging whether the abnormal person has left the public transportation according to the images captured by the camera on the public transportation and / or the images captured by the camera at the scheduled stop of the public transportation;

[0019] If the abnormal person has left the public transportation before the patrol personnel reaches the optimal interception point, the trajectory of the abnormal person is re-acquired, and the patrol personnel are instructed to intercept the abnormal person according to the trajectory of the abnormal person.

[0020] In some embodiments, the warning message includes the facial image of the abnormal person captured by the camera on the public transportation, the facial image of the abnormal person in the abnormal person face database, the identity information of the abnormal person, the license plate information of the public transportation, the route information of the public transportation and the real-time location information of the public transportation.

[0021] In a second aspect, in this embodiment, a system for tracking abnormal persons is provided, which is used to track abnormal persons traveling on public transportation, wherein a camera is installed on the public transportation; the system includes a cloud server and a wireless communication module;

[0022] The cloud server acquires the facial image captured by the camera on the public transportation in real time through the wireless communication module;

[0023] The cloud server is also connected to the dedicated platform and the public transportation management platform through the wireless communication module;

[0024] The cloud server is also used to confirm whether the abnormal person exists on the public transportation based on the facial images captured by the cameras on the public transportation and the facial images stored in the abnormal person face database in the dedicated platform; if it is confirmed that the abnormal person exists on the public transportation, the driving information of the public transportation and the patrol information of the patrol personnel whose distance from the public transportation is within a preset distance range are obtained, the optimal interception point is calculated based on the driving information and the patrol information, and the patrol personnel are instructing to arrive at the optimal interception point to intercept the abnormal person.

[0025] In some of these embodiments, the cloud server is also connected to the terminal device of the patrol personnel through the wireless communication module;

[0026] The cloud server is also used to push a warning message to the terminal device of the patrol personnel within the preset distance range from the public transportation based on the location distribution information of the patrol personnel and the current location information of the public transportation after confirming the presence of the abnormal person on the public transportation.

[0027] In some of the embodiments, the cloud server also obtains in real time through the wireless communication module the facial images captured by the cameras on the public transportation and the cameras at the scheduled stop sites of the public transportation;

[0028] The cloud server is also used to determine whether the abnormal person has left the public transportation based on facial images captured by cameras on the public transportation and / or facial images captured by cameras at scheduled stop sites of the public transportation after instructing the patrol personnel to arrive at the optimal interception point to intercept the abnormal person before the patrol personnel arrives at the optimal interception point; and if the abnormal person has left the public transportation before the patrol personnel reaches the optimal interception point, re-acquire the trajectory of the abnormal person and instruct the patrol personnel to intercept the abnormal person based on the trajectory of the abnormal person.

[0029] In some of the embodiments, the cloud server is also connected to a GPS module on the public transportation via the wireless communication module, and obtains the GPS location of the public transportation in real time via the GPS module.

[0030] In some embodiments, the wireless communication module is any one of a 3G module, a 4G module, a 5G module and a wifi module.

[0031] In a third aspect, a computer device is provided in this embodiment, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method described in the first aspect when executing the computer program.

[0032] In a fourth aspect, in this embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps of the method described in the first aspect are implemented.

[0033] The above-mentioned abnormal person tracking method, system, computer device and computer-readable storage medium confirm whether there are abnormal persons on public transportation based on facial images captured by cameras on public transportation and facial images stored in the abnormal person face database; if it is confirmed that there are abnormal persons on public transportation, the driving information of the public transportation and the patrol information of patrol personnel whose distance from the public transportation is within a preset distance range are obtained, and the best interception point is calculated based on the driving information and patrol information, and the patrol personnel are instructed to arrive at the best interception point to intercept the abnormal person. This application effectively improves the tracking efficiency of abnormal persons on public transportation by calculating the best interception point when confirming the presence of abnormal persons on public transportation, and instructing patrol personnel whose distance from the public transportation is within a preset distance range to arrive at the best interception point in time to intercept the abnormal person. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0035] Figure 1 This is an application scenario diagram of the abnormal personnel tracking method provided in an embodiment of the present application;

[0036] Figure 2 The process of the abnormal personnel tracking method provided in the embodiment of the present application is as follows Figure 1 ;

[0037] Figure 3 The process of the abnormal personnel tracking method provided in the embodiment of the present application is as follows Figure 2 ;

[0038] Figure 4 This is a schematic diagram of an application scenario of an abnormal person tracking system provided in an embodiment of the present application. Figure 1 ;

[0039] Figure 5 This is a schematic diagram of an application scenario of an abnormal person tracking system provided in an embodiment of the present application. Figure 2 ;

[0040] Figure 6 It is a schematic diagram of the structure of a computer device provided according to an embodiment of the present application. DETAILED DESCRIPTION

[0041] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application is described and illustrated below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not intended to limit the present application. Based on the embodiments provided in the present application, all other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of the present application.

[0042] Obviously, the drawings described below are only some examples or embodiments of the present application. For ordinary technicians in this field, the present application can also be applied to other similar scenarios based on these drawings without creative work. In addition, it can also be understood that although the efforts made in this development process may be complicated and lengthy, for ordinary technicians in this field related to the content disclosed in this application, some changes in design, manufacturing or production based on the technical content disclosed in this application are just conventional technical means, and should not be understood as insufficient content disclosed in this application.

[0043] Reference to "embodiments" in this application means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those of ordinary skill in the art that the embodiments described in this application may be combined with other embodiments without conflict.

[0044] Unless otherwise defined, the technical terms or scientific terms involved in this application should be understood by people with ordinary skills in the technical field to which this application belongs. The words "one", "a", "a", "the" and the like involved in this application do not indicate a quantitative limitation, and may represent the singular or plural. The terms "include", "comprise", "have" and any of their variations involved in this application are intended to cover non-exclusive inclusions; for example, a process, method, system, product or device that includes a series of steps or modules (units) is not limited to the listed steps or units, but may also include steps or units that are not listed, or may also include other steps or units inherent to these processes, methods, products or devices. The words "connect", "connected", "coupled" and the like involved in this application are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. The "multiple" involved in this application refers to two or more. "And / or" describes the association relationship of associated objects, indicating that there may be three relationships, for example, "A and / or B" can represent: A exists alone, A and B exist at the same time, and B exists alone. The character " / " generally indicates that the objects before and after are in an "or" relationship. The terms "first", "second", "third", etc. involved in this application are only used to distinguish similar objects and do not represent a specific ordering of the objects.

[0045] Figure 1 This is an application scenario diagram of the abnormal personnel tracking method provided by one embodiment of the present application. Figure 1As shown, data can be transmitted between the server 101 and the camera 102 and the mobile terminal 103 through the network. Among them, the camera 102 is installed on public transportation, which is used to capture the facial image of the person on the public transportation and transmit the facial image to the server 101. After the server 101 receives the facial image, it confirms whether there is an abnormal person on the public transportation based on the facial image and the facial image stored in the abnormal person face database; if it is confirmed that there is an abnormal person on the public transportation, the driving information of the public transportation and the patrol information of the patrol personnel whose distance from the public transportation is within the preset distance range are obtained, and the best interception point is calculated according to the driving information and the patrol information, and the patrol personnel are instructed to arrive at the best interception point to intercept the abnormal person through the mobile terminal 103. Among them, the server 101 can be implemented by an independent server or a server cluster composed of multiple servers, and the mobile terminal 103 can be an information acquisition device such as a mobile phone, a computer, etc. The way for the mobile terminal 103 to obtain information can be telephone, text message, patrol personnel APP, etc.

[0046] The present application embodiment provides a method for tracking abnormal personnel, which can be used for tracking abnormal personnel in the field of security technology, such as Figure 2 As shown, the method comprises the following steps:

[0047] Step S210, based on the facial images captured by the cameras on the public transportation and the facial images stored in the abnormal person face database, confirm whether there are abnormal persons on the public transportation.

[0048] Specifically, public transportation can be buses, subways and other public transportation. Public transportation usually does not verify the identity of passengers boarding the bus, resulting in safety blind spots. Therefore, it is also very important to detect abnormal persons on public transportation. The abnormal person face database is usually obtained from a dedicated platform. The abnormal person face database in the dedicated platform is generally not open to the public. Only users with specific permissions can access the abnormal person face database. To confirm whether there are abnormal persons on public transportation, the face images captured by the camera on the public transportation obtained by the cloud server can be compared with the face images stored in the abnormal person face database. If there is a face image with a similarity greater than the set similarity threshold, it is confirmed that there are abnormal persons on public transportation. In order to improve the accuracy of the detection results of whether there are abnormal persons on public transportation, pre-processing operations such as denoising and enhancement can be performed on the face images captured by the camera on public transportation.

[0049] Step S220, if it is confirmed that there are abnormal persons on public transportation, the driving information of the public transportation and the patrol information of patrol personnel whose distance from the public transportation is within a preset distance range are obtained, the best interception point is calculated based on the driving information and patrol information, and the patrol personnel are instructed to arrive at the best interception point to intercept the abnormal person.

[0050] Specifically, in order to achieve more timely tracking of abnormal persons, patrol personnel within a preset distance range from public transportation can be the best candidates for tracking abnormal persons. This preset distance range can be adjusted according to actual needs to ensure that there are enough patrol personnel to track abnormal persons. The driving information of public transportation can be the real-time location information of public transportation, driving speed, driving route or scheduled stop information, etc. The driving information of public transportation can be obtained from the public transportation management platform. The patrol information of patrol personnel can be the moving speed of patrol personnel, the current location information of patrol personnel, etc. The patrol information of patrol personnel can be obtained from a dedicated platform, or can be obtained through a GPS positioning device or a mobile sensor device equipped for patrol personnel. According to the driving information of public transportation and the patrol information of patrol personnel, the best interception point of patrol personnel can be calculated. The best interception point can be set as the station that the patrol personnel arrives earlier than public transportation and is closest to the patrol personnel, or it can be set as the station that the patrol personnel arrives earlier than public transportation and that public transportation can arrive fastest. The patrol personnel are instructed to arrive at the best interception point to intercept the abnormal person.

[0051] In the related art, it is difficult to set up identity verification devices at the boarding point for public transportation, which leads to blind spots in security inspections and makes it impossible to efficiently track abnormal persons on public transportation. The present application confirms whether there are abnormal persons on public transportation through the above steps S210 to S220, based on the facial images captured by the camera on the public transportation and the facial images stored in the abnormal person face database; if it is confirmed that there are abnormal persons on the public transportation, the driving information of the public transportation and the patrol information of the patrol personnel whose distance from the public transportation is within a preset distance range are obtained, and the optimal interception point is calculated based on the driving information and the patrol information, and the patrol personnel are instructed to arrive at the optimal interception point to intercept the abnormal person. The present application calculates the optimal interception point when confirming that there are abnormal persons on the public transportation, and instructs the patrol personnel whose distance from the public transportation is within a preset distance range to arrive at the optimal interception point in time to intercept the abnormal person, thereby effectively improving the tracking efficiency of abnormal persons on public transportation.

[0052] In one embodiment, after confirming that there is an abnormal person on public transportation in the above step S220, the abnormal person tracking method provided by the present application further includes the following steps:

[0053] According to the location distribution information of the patrol personnel and the current location information of the public transportation, an early warning message is pushed to the terminal devices of the patrol personnel within a preset distance range from the public transportation.

[0054] Specifically, the location distribution information of patrol personnel can be obtained from a dedicated platform, or through a GPS positioning device or a mobile sensor device equipped for patrol personnel. The current location information of public transportation can be obtained through a GPS positioning device or a mobile sensor device installed on public transportation. The terminal device of the patrol personnel is a mobile terminal device that is easy to carry, which can be a mobile phone, a computer, etc. It can be dedicated to patrol personnel and requires certain user permissions to operate. The terminal device can receive early warning messages, which may include real-time location information of public transportation, driving information, and identity information of abnormal persons. After confirming the presence of abnormal persons on public transportation, by pushing early warning messages to the terminal devices of patrol personnel within a preset distance range from the public transportation, the patrol personnel can be more fully prepared to track abnormal persons and improve the success rate of tracking abnormal persons.

[0055] In one embodiment, based on the facial image captured by the camera on the public transportation and the facial image stored in the abnormal person face database in the above step S210, it is confirmed whether there is an abnormal person on the public transportation, and the abnormal person tracking method includes the following steps:

[0056] Step S211, acquiring in real time facial images captured by cameras at various entrances and exits of public transportation and inside the vehicle.

[0057] Step S212, performing a similarity comparison between the acquired facial image captured by the camera on public transportation and the facial image stored in the abnormal person face database.

[0058] Step S213: If there is a target image whose similarity is greater than the set similarity threshold, the person corresponding to the target image is confirmed as an abnormal person.

[0059] Specifically, by installing cameras at various entrances and exits of public transportation and inside the vehicle, passengers on public transportation are captured at multiple angles, thereby obtaining facial images captured at multiple angles and comparing them with facial images stored in the abnormal person face database for similarity, which can avoid the situation where abnormal persons on public transportation are not captured because their angles are too hidden, thereby improving the accuracy of identifying whether abnormal persons are on the bus. Taking a bus as an example, cameras are installed at the front door, back door, and inside the bus to capture passengers on the bus at multiple angles. If it is a subway, there will be multiple entrances and exits involved, and cameras are installed at each entrance and exit of the subway and inside the car to capture passengers on the subway at multiple angles.

[0060] In one of the embodiments, the driving information mentioned in the above embodiment includes the driving route of the public transportation and the time when the public transportation arrives at each scheduled stop; the patrol information includes the current location information of the patrol personnel and the moving speed of the patrol personnel.

[0061] Specifically, the route of public transportation and the time when public transportation arrives at each scheduled stop can be obtained from the public transportation management platform. Since the public transportation management platform will update and save the route of public transportation and the time when public transportation arrives at each scheduled stop in time, the error of the route of public transportation and the time when public transportation arrives at each scheduled stop obtained from the public transportation management platform can be ignored. The current location information of the patrolman and the moving speed of the patrolman can be obtained from the dedicated platform. The dedicated platform will record the transportation tools used by the patrolman, and the moving speed of the patrolman can be estimated by the transportation tools used by the patrolman. The current location information of the patrolman and the moving speed of the patrolman can also be obtained by the GPS positioning device or mobile sensor device equipped for the patrolman. According to the current location information of the patrolman, the moving speed of the patrolman and the scheduled stop of the public transportation, the time when the patrolman arrives at each scheduled stop of the public transportation can be calculated, and the best interception point of the patrolman can be accurately obtained according to the time when the public transportation arrives at each scheduled stop and the time when the patrolman arrives at each scheduled stop of the public transportation.

[0062] In one embodiment, based on the above step S212, the facial image captured by the camera on the public transportation is compared with the facial image stored in the abnormal person face database for similarity, and the abnormal person tracking method includes the following steps:

[0063] Acquire multiple facial images of the same person captured by cameras on public transportation in real time, select the clearest facial image from the multiple facial images and compare the similarity with the facial images stored in the abnormal person facial database.

[0064] Specifically, if the face of the same person keeps appearing in the camera's surveillance screen, the camera may capture multiple faces. According to the face algorithm, the clearest face image is selected from the multiple face images and compared with the face images stored in the abnormal person face database for similarity. While ensuring the accuracy of face comparison, the number of face comparisons can be reduced, effectively reducing the consumption of server resources.

[0065] Furthermore, if Figure 3 As shown, in one embodiment, after instructing the patrol personnel to arrive at the optimal interception point to intercept the abnormal person in step S220, the method further includes:

[0066] Step S230, before the patrol personnel arrive at the optimal interception point, it is determined whether the abnormal person has left the public transportation based on the images captured by the cameras on the public transportation and / or the images captured by the cameras at the scheduled stop of the public transportation.

[0067] Step S240: If the abnormal person has left the public transportation before the patrol personnel reach the optimal interception point, the trajectory of the abnormal person is re-acquired, and the patrol personnel are instructed to intercept the abnormal person according to the trajectory of the abnormal person.

[0068] Since the whereabouts of abnormal persons are not controlled, they may have left the public transportation before the patrol personnel reach the best interception point. At this time, it is necessary to instruct the patrol personnel to readjust the tracking route to track the abnormal persons. If the abnormal person leaves the public transportation, the camera on the public transportation and / or the camera at the scheduled stop of the public transportation will inevitably capture the corresponding image. Therefore, based on the images captured by the camera on the public transportation and / or the images captured by the camera at the scheduled stop of the public transportation, it can be accurately determined whether the abnormal person has left the public transportation. The trajectory of the abnormal person can be obtained through the image captured by the camera near the alighting point of the public transportation.

[0069] Through the above steps S230 to S240, it is detected whether the abnormal person has left the public transportation before the patrol personnel arrive at the optimal interception point. In the case where the abnormal person has left the public transportation, the patrol personnel are instructed to intercept the abnormal person according to the track of the abnormal person. This effectively avoids the situation where the abnormal person has left the public transportation before the patrol personnel arrive at the optimal interception point, resulting in the patrol personnel tracking being ineffective, and effectively improves the success rate of abnormal person tracking.

[0070] In one of the embodiments, the warning message includes a facial image of an abnormal person captured by a camera on public transportation, a facial image of an abnormal person in an abnormal person face database, identity information of the abnormal person, license plate information of public transportation, route information of public transportation, and real-time location information of public transportation.

[0071] By providing patrol officers with comprehensive early warning information related to abnormal persons and public transportation, patrol officers can be more fully prepared to track abnormal persons and improve the success rate of tracking abnormal persons.

[0072] Figure 4 FIG. 1 is a schematic diagram of an application scenario of an abnormal personnel tracking system according to an embodiment of the present invention. Figure 4 As shown, an abnormal personnel tracking system 30 is provided, which includes a cloud server 31 and a wireless communication module 32;

[0073] The cloud server 31 acquires the face image captured by the camera 33 on the public transportation in real time through the wireless communication module 32;

[0074] The cloud server 31 is also connected to the dedicated platform 34 and the public transportation management platform 35 via the wireless communication module 32;

[0075] The cloud server 31 is also used to confirm whether there are abnormal persons on public transportation based on the facial images captured by the cameras 33 on the public transportation and the facial images stored in the abnormal person face database in the dedicated platform 34; if it is confirmed that there are abnormal persons on the public transportation, the driving information of the public transportation and the patrol information of the patrol personnel whose distance from the public transportation is within a preset distance range are obtained, and the optimal interception point is calculated based on the driving information and the patrol information, and the patrol personnel are instructed to arrive at the optimal interception point to intercept the abnormal person.

[0076] It should be noted that the dedicated platform 34 and the public transportation management platform 35 can be deployed on the cloud server 31 or on other server devices, and the cloud server 31 is connected to the other server devices so that the cloud server 31 can communicate with the dedicated platform 34 and the public transportation management platform 35. Since the public transportation itself is equipped with cameras 33, and the dedicated platform 34 and the public transportation management platform 35 are also existing platforms, when using the abnormal personnel tracking system 30 to track abnormal personnel, various required data can be obtained from the existing platform, so the abnormal personnel tracking system 30 provided by the present application can effectively reduce costs.

[0077] As one of the implementation methods, Figure 4 As shown, the cloud server 31 is connected to the camera 33 via the wireless communication module 32 to obtain the face image captured by the camera 33 on public transportation in real time.

[0078] As another embodiment, Figure 5 As shown, the cloud server 31 is connected to the camera access platform 36 through the wireless communication module 32, and the camera access platform 36 is used to access the cameras 33 on public transportation and the cameras 33 at the scheduled stops of public transportation. In some cities, due to the large number of cameras 33, the camera access platform 36 can achieve unified management of the cameras 33. The cloud server 31 can obtain the facial images captured by the cameras 33 on public transportation from the camera access platform 36 in real time, and perform operations such as zooming and focusing on the cameras 33 accessed by the camera access platform 36 through the camera access platform 36. Specifically, the camera access platform 36 can be deployed on the cloud server 31, or on other server devices, and the cloud server 31 is connected to the other server devices so that the cloud server 31 and the camera access platform 36 can communicate with each other.

[0079] In one of the embodiments, the cloud server 31 is also connected to the patrol personnel's terminal device 37 via the wireless communication module 32;

[0080] The cloud server 31 is also used to push warning messages to the terminal devices 37 of patrol personnel within a preset distance range from public transportation based on the location distribution information of the patrol personnel and the current location information of the public transportation after confirming the presence of abnormal personnel on the public transportation.

[0081] In one of the embodiments, the cloud server 31 also obtains the facial images captured by the cameras 33 on the public transportation and the cameras 33 at the scheduled stop sites of the public transportation in real time through the wireless communication module 32;

[0082] The cloud server 31 is also used to determine whether the abnormal person has left the public transportation based on the facial images captured by the camera 33 on the public transportation and / or the facial images captured by the camera 33 at the scheduled stop of the public transportation after instructing the patrol personnel to arrive at the optimal interception point to intercept the abnormal person before the patrol personnel arrives at the optimal interception point; and if the abnormal person has left the public transportation before the patrol personnel reaches the optimal interception point, re-acquire the trajectory of the abnormal person and instruct the patrol personnel to intercept the abnormal person based on the trajectory of the abnormal person.

[0083] In one of the embodiments, the cloud server 31 is also connected to the GPS module 38 on the public transportation via the wireless communication module 32 , and the GPS location of the public transportation is obtained in real time via the GPS module 38 .

[0084] In one embodiment, the wireless communication module 32 is any one of a 3G module, a 4G module, a 5G module and a wifi module.

[0085] The above-mentioned abnormal person tracking system 30 confirms whether there are abnormal persons on public transportation based on the facial images captured by the camera 33 on public transportation and the facial images stored in the abnormal person face database; if it is confirmed that there are abnormal persons on public transportation, the driving information of the public transportation and the patrol information of the patrol personnel whose distance from the public transportation is within a preset distance range are obtained, and the best interception point is calculated based on the driving information and patrol information, and the patrol personnel are instructed to arrive at the best interception point to intercept the abnormal person. By calculating the best interception point when confirming that there are abnormal persons on public transportation, and instructing the patrol personnel whose distance from the public transportation is within the preset distance range to arrive at the best interception point in time to intercept the abnormal person, the tracking efficiency of abnormal persons on public transportation is effectively improved.

[0086] In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as follows: Figure 6As shown. The computer device includes a processor, a memory, a network interface and a database connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store a set of preset configuration information. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, the above-mentioned abnormal personnel tracking method is implemented.

[0087] In one embodiment, a computer device is provided, which may be a terminal. The computer device includes a processor, a memory, a network interface, a display screen, and an input device connected via a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface of the computer device is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor, a method for tracking abnormal personnel is implemented. The display screen of the computer device may be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device may be a touch layer covered on the display screen, or a key, trackball, or touchpad provided on the housing of the computer device, or an external keyboard, touchpad, or mouse, etc.

[0088] Those skilled in the art will understand that Figure 6 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0089] In one embodiment, a computer readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

[0090] Based on the facial images captured by the cameras on public transportation and the facial images stored in the abnormal person face database, confirm whether there are abnormal persons on public transportation;

[0091] If it is confirmed that there are abnormal persons on public transportation, the driving information of the public transportation and the patrol information of patrol personnel whose distance from the public transportation is within a preset distance range are obtained. Based on the driving information and patrol information, the optimal interception point is calculated, and the patrol personnel are instructed to reach the optimal interception point to intercept the abnormal persons.

[0092] In one embodiment, after confirming that there are abnormal persons on public transportation, the computer program implements the following steps when executed by the processor:

[0093] According to the location distribution information of the patrol personnel and the current location information of the public transportation, an early warning message is pushed to the terminal devices of the patrol personnel within a preset distance range from the public transportation.

[0094] In one embodiment, the computer program, when executed by a processor, implements the following steps:

[0095] Obtain facial images captured by cameras at various entrances and exits of public transportation and inside vehicles in real time;

[0096] Perform similarity comparison between the facial images captured by the cameras on public transportation and the facial images stored in the abnormal person facial database;

[0097] If there is a target image whose similarity is greater than the set similarity threshold, the person corresponding to the target image is confirmed as an abnormal person.

[0098] In one embodiment, the driving information includes the driving route of the public transportation and the time when the public transportation arrives at each scheduled stop; the patrol information includes the current location information of the patrol personnel and the moving speed of the patrol personnel.

[0099] In one embodiment, the computer program, when executed by a processor, implements the following steps:

[0100] Acquire multiple facial images of the same person captured by cameras on public transportation in real time, select the clearest facial image from the multiple facial images and compare the similarity with the facial images stored in the abnormal person facial database.

[0101] In one embodiment, after instructing patrol personnel to reach the optimal interception point to intercept abnormal personnel, the computer program implements the following steps when executed by the processor:

[0102] Before the patrol personnel arrive at the optimal interception point, it is determined whether the abnormal person has left the public transportation based on the facial image captured by the camera on the public transportation and / or the facial image captured by the camera at the scheduled stop of the public transportation;

[0103] If the abnormal person has left the public transportation before the patrol personnel reach the optimal interception point, the trajectory of the abnormal person is re-acquired, and the patrol personnel are instructed to intercept the abnormal person according to the trajectory of the abnormal person.

[0104] In one embodiment, the warning message includes facial images of abnormal persons captured by cameras on public transportation, facial images of abnormal persons in an abnormal person face database, identity information of the abnormal person, license plate information of public transportation, route information of public transportation, and real-time location information of public transportation.

[0105] The above storage medium confirms whether there are abnormal persons on public transportation based on the facial images captured by the cameras on public transportation and the facial images stored in the abnormal person face database; if it is confirmed that there are abnormal persons on public transportation, the driving information of the public transportation and the patrol information of the patrol personnel whose distance from the public transportation is within a preset distance range are obtained, and the best interception point is calculated based on the driving information and patrol information, and the patrol personnel are instructed to arrive at the best interception point to intercept the abnormal person. By calculating the best interception point when confirming that there are abnormal persons on public transportation, and instructing the patrol personnel whose distance from the public transportation is within the preset distance range to arrive at the best interception point in time to intercept the abnormal person, the tracking efficiency of abnormal persons on public transportation is effectively improved.

[0106] It should be understood that the specific embodiments described herein are only used to explain the application, rather than to limit it. Based on the embodiments provided in this application, all other embodiments obtained by ordinary technicians in this field without creative work are within the protection scope of this application.

[0107] Obviously, the drawings are only some examples or embodiments of the present application. For ordinary technicians in the field, the present application can also be applied to other similar situations based on these drawings without creative work. In addition, it is understandable that although the work done in this development process may be complicated and lengthy, for ordinary technicians in the field, certain changes in design, manufacturing or production based on the technical content disclosed in this application are only conventional technical means and should not be regarded as insufficient content disclosed in this application.

[0108] The term "embodiment" in this application refers to a specific feature, structure or characteristic described in conjunction with the embodiment that can be included in at least one embodiment of the present application. The appearance of this phrase in various locations in the specification does not necessarily mean the same embodiment, nor does it mean that it is mutually exclusive with other embodiments and is independent or optional. It is clearly or implicitly understood by those of ordinary skill in the art that the embodiments described in this application can be combined with other embodiments without conflict.

[0109] The above-mentioned embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of patent protection. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the scope of protection of the present application. Therefore, the scope of protection of the present application shall be subject to the attached claims.

Claims

1. A method for tracking abnormal persons, for tracking abnormal persons traveling by public transportation, characterized in that: The method comprises the following steps: Based on the facial images captured by the cameras on the public transportation and the facial images stored in the abnormal person face database, confirming whether the abnormal person exists on the public transportation; If it is confirmed that the abnormal person exists on the public transportation, the driving information of the public transportation and the patrol information of the patrol personnel whose distance from the public transportation is within a preset distance range are obtained; the driving information includes the driving route of the public transportation and the time when the public transportation arrives at each scheduled stop; the patrol information includes the current position information of the patrol personnel and the transportation tool used by the patrol personnel; the moving speed of the patrol personnel is determined based on the transportation tool used by the patrol personnel; the time when the patrol personnel arrives at each scheduled stop of the public transportation is determined based on the current position and moving speed of the patrol personnel and the driving route of the public transportation; the optimal interception point is determined based on the time when the patrol personnel arrives at each scheduled stop of the public transportation and the time when the public transportation arrives at each pre-stop point, and the patrol personnel is instructed to arrive at the optimal interception point to intercept the abnormal person; the optimal interception point is a station that the patrol personnel arrives at earlier than the public transportation and is closest to the patrol personnel, or a station that the patrol personnel arrives at earlier than the public transportation and can arrive at the fastest by the public transportation.

2. The abnormal personnel tracking method according to claim 1, characterized in that: After confirming that the abnormal person exists on the public transportation, the method further includes: According to the location distribution information of the patrol personnel and the current location information of the public transportation, a warning message is pushed to the terminal device of the patrol personnel within the preset distance range from the public transportation.

3. The abnormal personnel tracking method according to claim 1, characterized in that: The step of confirming whether the abnormal person exists on the public transportation based on the facial image captured by the camera on the public transportation and the facial image stored in the abnormal person face database comprises the following steps: Acquire in real time facial images captured by cameras at various entrances and exits of the public transportation and inside the vehicle; Performing a similarity comparison between the acquired facial image captured by the camera on the public transportation and the facial image stored in the abnormal person facial database; If there is a target image whose similarity is greater than the set similarity threshold, the person corresponding to the target image is confirmed as an abnormal person.

4. The abnormal person tracking method according to claim 3 is characterized in that: The method of performing a similarity comparison between the acquired facial image captured by the camera on the public transportation and the facial image stored in the abnormal person facial database comprises the following steps: A plurality of facial images of the same person captured by the camera on the public transportation are acquired in real time, and a clearest facial image is selected from the plurality of facial images for similarity comparison with the facial images stored in the abnormal person facial database.

5. The abnormal person tracking method according to any one of claims 1 to 4, characterized in that: After instructing the patrol personnel to arrive at the optimal interception point to intercept the abnormal person, the method further includes: Before the patrol personnel arrive at the optimal interception point, judging whether the abnormal person has left the public transportation according to the images captured by the camera on the public transportation and / or the images captured by the camera at the scheduled stop of the public transportation; If the abnormal person has left the public transportation before the patrol personnel reaches the optimal interception point, the trajectory of the abnormal person is re-acquired, and the patrol personnel are instructed to intercept the abnormal person according to the trajectory of the abnormal person.

6. The abnormal personnel tracking method according to claim 2, characterized in that: The warning message includes the facial image of the abnormal person captured by the camera on the public transportation, the facial image of the abnormal person in the abnormal person face database, the identity information of the abnormal person, the license plate information of the public transportation, the route information of the public transportation and the real-time location information of the public transportation.

7. An abnormal personnel tracking system, characterized in that: Used to track abnormal people traveling on public transportation, where cameras are installed on the public transportation; the system includes a cloud server and a wireless communication module; The cloud server acquires the facial image captured by the camera on the public transportation in real time through the wireless communication module; The cloud server is also connected to the dedicated platform and the public transportation management platform through the wireless communication module; The cloud server is also used to confirm whether the abnormal person exists on the public transportation based on the facial images captured by the cameras on the public transportation and the facial images stored in the abnormal person face database in the dedicated platform; if it is confirmed that the abnormal person exists on the public transportation, the driving information of the public transportation and the patrol information of the patrol personnel whose distance from the public transportation is within a preset distance range are obtained; the driving information includes the driving route of the public transportation and the arrival time of the public transportation at each predetermined stop; the patrol information includes the current location information of the patrol personnel and the transportation used by the patrol personnel; based on the transportation used by the patrol personnel, the moving speed of the patrol personnel is determined; Based on the current position and moving speed of the patrol officer and the travel route of the public transportation, determine the time for the patrol officer to arrive at each scheduled stop of the public transportation; Based on the time when the patrol personnel arrive at each scheduled stop of the public transportation and the time when the public transportation arrives at each pre-stop, the optimal interception point is determined, and the patrol personnel are instructed to arrive at the optimal interception point to intercept the abnormal person; the optimal interception point is a station that the patrol personnel arrives at earlier than the public transportation and is closest to the patrol personnel, or a station that the patrol personnel arrives at earlier than the public transportation and that the public transportation can arrive at the fastest.

8. The abnormal personnel tracking system according to claim 7, characterized in that: The cloud server is also connected to the terminal device of the patrol personnel through the wireless communication module; The cloud server is also used to push a warning message to the terminal device of the patrol personnel within the preset distance range from the public transportation based on the location distribution information of the patrol personnel and the current location information of the public transportation after confirming the presence of the abnormal person on the public transportation.

9. The abnormal personnel tracking system according to claim 7, characterized in that: The cloud server also acquires in real time through the wireless communication module the facial images captured by the cameras on the public transportation and the cameras at the scheduled stop sites of the public transportation; The cloud server is also used to determine whether the abnormal person has left the public transportation based on facial images captured by cameras on the public transportation and / or facial images captured by cameras at scheduled stop sites of the public transportation after instructing the patrol personnel to arrive at the optimal interception point to intercept the abnormal person before the patrol personnel arrives at the optimal interception point; and if the abnormal person has left the public transportation before the patrol personnel reaches the optimal interception point, re-acquire the trajectory of the abnormal person and instruct the patrol personnel to intercept the abnormal person based on the trajectory of the abnormal person.

10. The abnormal personnel tracking system according to claim 7, characterized in that: The cloud server is also connected to the GPS module on the public transportation through the wireless communication module, and obtains the GPS location of the public transportation in real time through the GPS module.

11. The abnormal personnel tracking system according to claim 7, characterized in that: The wireless communication module is any one of a 3G module, a 4G module, a 5G module and a wifi module.

12. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

13. A 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 method according to any one of claims 1 to 6 are implemented.

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