CN112733642A - Behavior analysis method and terminal based on prison - Google Patents
Behavior analysis method and terminal based on prison Download PDFInfo
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- CN112733642A CN112733642A CN202011604403.9A CN202011604403A CN112733642A CN 112733642 A CN112733642 A CN 112733642A CN 202011604403 A CN202011604403 A CN 202011604403A CN 112733642 A CN112733642 A CN 112733642A
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Abstract
The invention provides a prison-based behavior analysis method and a prison-based behavior analysis terminal, wherein the prison-based behavior analysis method comprises the following steps: s101: constructing an indoor road network according to the monitored drawing, and putting scene information in the monitored into the indoor road network; s102: the method comprises the steps that a camera is controlled to shoot images of a monitoring place, identification information and position information of target personnel are obtained through the images, and the motion track and the position information of the target personnel are obtained by combining the identification information and the positioning information of the target personnel and an indoor road network, wherein the target personnel comprise a message carrier and a monitored personnel; s103: and acquiring a spatial position relation between the message advising personnel and the monitored personnel according to the motion track and the position information, and monitoring the illegal action of the monitored personnel through the spatial position relation. The invention can acquire the movement track of the target personnel, enlarge the supervision range, acquire the position relation between the caller and the supervised personnel, realize the quick identification and acquisition of the violation and reduce the management pressure.
Description
Technical Field
The invention relates to the technical field of prison management, in particular to a prison-based behavior analysis method and a prison-based behavior analysis terminal.
Background
At present, many prisons face the problems of large escort amount, serious excess escort, low police escort ratio, large average age of the dry police and large daily workload, how to warn the science and technology, reduce the burden of the police, standardize the operation flow of the staff of the dry police, and prevent the occurrence of illegal behaviors and dangerous behaviors of the supervised staff, thus being the main problems faced by many prisons.
At present, by using intelligent equipment, the automatic identification and alarm of dangerous behaviors such as climbing, violent movement, staying for too long and the like are preliminarily achieved, the management pressure is relieved to a certain extent, but the equipment can only supervise partial areas and is difficult to obtain the movement tracks of supervised personnel and alarm personnel. And the illegal behaviors related to the distance between the monitored personnel and the message submitting personnel, such as the fact that the message submitting personnel walks in front of the monitored personnel and the distance between the message submitting personnel and the monitored personnel is too large, cannot be quickly identified and acquired, and are difficult to further reduce the management pressure.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides a behavior analysis method and a terminal based on a prison, an indoor road network is formed according to a prison drawing, identification information and position information of a target person are obtained through a shot graph, the information is combined with the indoor road network to obtain the motion track of the target person, the supervision range is expanded, the position relation between a caller and a supervised person can be obtained, the illegal behavior is quickly identified and obtained, and the management pressure is reduced.
In order to solve the above problems, the present invention adopts a technical solution as follows: a prison-based behavior analysis method, comprising: s101: constructing an indoor road network according to a drawing of a prison, and putting scene information in the prison into the indoor road network; s102: controlling a camera to shoot the image of the monitoring place, acquiring identification information and position information of target personnel through the image, and acquiring motion trail and position information of the target personnel by combining the identification information and positioning information of the target personnel and an indoor road network, wherein the target personnel comprise a messenger and a monitored personnel; s103: and acquiring a spatial position relationship between the message carrier and the monitored person according to the motion track and the position information, and monitoring the violation of the monitored person according to the spatial position relationship.
Further, the step of constructing an indoor road network according to the monitored drawing specifically includes: and acquiring the construction drawing of the prison, and carrying out grid search on the construction drawing to generate the indoor road network of the prison.
Further, before the step of controlling the camera to capture the image of the monitored area, the method further comprises: and training the clothing of the target personnel through an AI training platform to obtain clothing information associated with different target personnel.
Further, the step of acquiring the identification information and the location information of the target person through the image specifically includes: and acquiring the image characteristics of the target personnel, identifying the target personnel according to the image characteristics, and projecting the space coordinates of the target personnel in the image frame by frame into a real coordinate system.
Further, the image features comprise at least one of human face features, clothing information, head and shoulder features and human body features.
Further, the step of acquiring the movement track and the position information of the target person by combining the identification information and the positioning information of the target person and the indoor road network specifically includes: and carrying out weighting processing on the face recognition result, the human body recognition result, the positioning information and the spatial position information of the target person in the indoor road network to obtain the motion track and the position information of the target person.
Further, the spatial position relationship comprises the front-back relationship between the supervised person and the message carrier, and the distance relationship between the supervised person and the message carrier.
Further, clothing of the target person is identified according to the clothing information, the space coordinate of the clothing is obtained, and the front-back relationship between the monitored person and the message prompt person is obtained according to the space coordinate.
Further, the step of reporting the alarm information according to the channel and the alarm level of the alarm information specifically includes: judging whether the quantity of the alarm information of the channel is more than 1; if yes, only reporting the alarm information with the highest alarm level in the channel; and if not, reporting the alarm information.
Further, the step of supervising the violation of the supervised person by the spatial position relationship is followed by: and tracking and monitoring the illegal behaviors of the policemen in the prison, and carrying out graded early warning according to the grades of the illegal behaviors.
Based on the same inventive concept, the invention further provides a prison-based behavior analysis terminal, which comprises a processor and a memory, wherein the processor is in communication connection with the memory, the memory stores a computer program, and the processor executes the prison-based behavior analysis method according to the computer program.
Compared with the prior art, the invention has the beneficial effects that: an indoor road network is formed according to the monitored drawing, the identification information and the position information of the target person are obtained through the shot graph, the information is combined with the indoor road network to obtain the movement track of the target person, the monitoring range is expanded, the position relation between the advocate person and the monitored person can be obtained, the illegal behaviors are quickly identified and obtained, and the management pressure is relieved.
Drawings
FIG. 1 is a flow chart of an embodiment of a supervised-based behavioral analysis method of the present invention;
fig. 2 is a structural diagram of a health risk management terminal based on a prison according to an embodiment of the present invention.
Detailed Description
The present invention will be further described with reference to the accompanying drawings and the detailed description, and it should be noted that any combination of the embodiments or technical features described below can be used to form a new embodiment without conflict.
Referring to fig. 1, fig. 1 is a flowchart illustrating a behavior analysis method based on supervision according to an embodiment of the present invention. The behavior analysis method based on supervision according to the present invention will be described in detail with reference to fig. 1.
In this embodiment, the behavior analysis method based on prison includes:
s101: and constructing an indoor road network according to the drawing of the prison, and putting the scene information in the prison into the indoor road network.
In this embodiment, the device for executing the supervised behavior analysis method may be a computer, a control platform, a server, a mobile phone, and other devices capable of constructing an indoor road network and acquiring a motion trajectory of a target person.
In this embodiment, the step of constructing an indoor road network according to the monitored drawing specifically includes: and acquiring the construction drawing of the prison, and carrying out grid search on the construction drawing to generate the indoor road network of the prison.
In this embodiment, the drawing of the prison may be a CAD drawing, and the scene restoration is performed on the prison by using a digital space construction technology based on the CAD drawing, wherein the CAD drawing is preprocessed to simplify the drawing, and an indoor road network is generated by depth grid search. The drawing can be simplified by deleting areas or paths which are not related to behavior analysis of escorting personnel, such as areas which cannot be reached by escorting personnel, areas which do not need to be monitored and the like in the drawing.
In this embodiment, since the actual structure of the prison is different from the construction drawing due to the post-processing of decoration, furnishing and the like of the prison, it is necessary to put the scene information in the prison into the indoor road network after the indoor road network is formed to obtain a more accurate prison path diagram.
In this embodiment, the scene information may monitor the shape, placement position, door/window position, structure of the object inside the room, the actual size and area of different areas, and other information affecting the actions of the target person. The scene information is subjected to space digital conversion to be placed in an indoor road network.
S102: the method comprises the steps of controlling an image monitored by a camera, obtaining identification information and position information of target personnel through the image, and obtaining motion tracks and position information of the target personnel by combining the identification information and positioning information of the target personnel and an indoor road network, wherein the target personnel comprise a messenger and a monitored personnel.
In this embodiment, because the clothing worn by the escort person and the supervised person is different, in order to improve the recognition effect, the step of controlling the camera to shoot the images of the prison further comprises: and training the clothing of the target personnel through an AI training platform to acquire clothing information associated with different target personnel.
In this embodiment, the camera is an AI camera, and the target person is identified and tracked by the AI camera. The AI camera can be controlled to identify the target person when the person is detected in the shot image, and the target person can be identified and tracked when the dress of the monitored person and the dress of the person calling the news are detected to appear in the image.
In this embodiment, the step of acquiring the identification information and the location information of the target person through the image specifically includes: the method comprises the steps of obtaining image features of target personnel, identifying the target personnel according to the image features, and projecting space coordinates of the target personnel in an image frame by frame into a real coordinate system.
In this embodiment, the image features include at least one of face features, clothing information, head-shoulder features, and body features.
In this embodiment, the coordinates of different cameras in the indoor road network are different, and the spatial coordinates of the target person are determined by the calibration information of the cameras, such as internal and external parameters, and the coordinates of the cameras.
In other embodiments, in order to improve the positioning accuracy of the camera, the shooting area of different cameras, the coordinates of the shooting area, and the coordinates of the markers in the shooting area may be preset, and the spatial coordinates of the target person may be determined by combining the coordinates, the coordinates of the camera, the internal and external parameters of the camera, and other calibration information.
In this embodiment, when it is determined that the target person exists in the image, the camera may be further controlled to continuously capture the image of the target person, so as to track the target person.
In the embodiment, because the shooting areas of different cameras are limited, areas which cannot be shot exist among the cameras, and the cross-camera track association and the positioning of the position of the target person are realized. The step of acquiring the movement track and the position information of the target personnel by combining the identification information and the positioning information of the target personnel and the indoor road network specifically comprises the following steps: and weighting the face recognition result, the human body recognition result, the positioning information and the spatial position information of the target person in the indoor road network to obtain the motion trail and the position information of the target person. By projecting the position information of the target person to the indoor road network and the path track between different cameras in the indoor road network, cross-camera track correlation fusion is realized so as to obtain the motion track and the position information of the target person.
In this embodiment, different weights are set for the face recognition result, the human body recognition result and other target person recognition results of the target person, whether the sum of the weights with the same recognition result in the recognition results is greater than a preset value or not is judged, if so, it is determined that the target person is successfully recognized, and if not, it is determined that the target person is failed in recognition.
S103: and acquiring a spatial position relation between the message advising personnel and the monitored personnel according to the motion track and the position information, and monitoring the illegal action of the monitored personnel through the spatial position relation.
In this embodiment, the spatial position relationship includes a front-back relationship between the supervised person and the person who submits information, and a distance relationship between the supervised person and the person who submits information.
In this embodiment, the clothing of the target person is identified according to the clothing information, the space coordinates of the clothing are obtained, and the front-back relationship between the supervised person and the message carrier is obtained according to the space coordinates.
In this embodiment, in order to improve the identification accuracy, after the message carrier and the monitored person are identified by the clothing information, the monitored person may be further identified according to the face features, the body features, and the like of the monitored person to determine whether the identification is correct.
In this embodiment, the person who calls for information and the person who is supervised need pass through different cameras, there is a problem that one of them enters the shooting area, and the other one does not enter the shooting area and cannot be identified, therefore, after the target person in the shooting area is identified, whether the target person needs to be together with the person who is supervised or the person who calls for information is judged according to the images shot by other cameras on the path of the target person, and after a determination result is obtained, whether the spatial position relationship between the person who is supervised and the person who calls for information meets the requirements is judged according to the time when the target person enters the shooting area, the walking speed in the images, the distance between adjacent cameras, and the like.
In this embodiment, after the message advising person and the supervised person are identified, whether the behavior of the supervised person meets the specification or not, if the supervised person wears handcuffs, the supervised person is located in a predetermined area or not, and when the illegal behavior is determined, an alarm is given.
In this embodiment, the step of supervising the violation of the supervised person by the spatial position relationship includes: and tracking and monitoring the illegal behaviors of monitoring policemen in the monitoring station, and carrying out graded early warning according to the grades of the illegal behaviors. Different early warning means are set for different illegal behaviors according to an input instruction, such as a popup warning mode for the illegal behavior with low level and the like, and after the illegal behavior is determined to exist, related personnel are notified through other instant messaging software means according to the level of the illegal behavior.
Has the advantages that: the invention forms an indoor road network according to the monitored drawing based on the monitored behavior analysis method, acquires the identification information and the position information of the target person through the shot graph, and combines the information and the indoor road network to acquire the movement track of the target person, thereby enlarging the monitoring range, acquiring the position relation between the advising person and the monitored person, realizing the rapid identification and acquisition of the illegal behaviors and reducing the management pressure.
Based on the same inventive concept, the present invention further provides a prison-based behavior analysis terminal, please refer to fig. 2, and fig. 2 is a structural diagram of an embodiment of the prison-based behavior analysis terminal executed by the prison-based behavior analysis method according to the present invention. The behavior analysis method based on supervision according to the present invention is further described with reference to fig. 2.
In this embodiment, the prison-based behavior analysis terminal includes a processor and a memory, the processor is connected to the memory in a communication manner, the memory stores a computer program, and the processor executes the prison-based behavior analysis method according to the computer program as described in the above embodiments.
Has the advantages that: the invention forms an indoor road network based on the monitored behavior analysis terminal according to the monitored drawing, acquires the identification information and the position information of the target person through the shot graph, and combines the information and the indoor road network to acquire the movement track of the target person, thereby enlarging the monitoring range, acquiring the position relation between the advising person and the monitored person, realizing the rapid identification and acquisition of the illegal behaviors and reducing the management pressure.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A prison-based behavior analysis method is characterized in that the prison-based behavior analysis method comprises the following steps:
s101: constructing an indoor road network according to a drawing of a prison, and putting scene information in the prison into the indoor road network;
s102: controlling a camera to shoot the image of the monitoring place, acquiring identification information and position information of target personnel through the image, and acquiring motion trail and position information of the target personnel by combining the identification information and positioning information of the target personnel and an indoor road network, wherein the target personnel comprise a messenger and a monitored personnel;
s103: and acquiring a spatial position relationship between the message carrier and the monitored person according to the motion track and the position information, and monitoring the violation of the monitored person according to the spatial position relationship.
2. The prison-based behavior analysis method according to claim 1, wherein the step of constructing an indoor road network according to prison drawings specifically comprises:
and acquiring the construction drawing of the prison, and carrying out grid search on the construction drawing to generate the indoor road network of the prison.
3. The custody-based behavioral analysis method according to claim 1, wherein the step of controlling a camera to capture images of the custody further comprises, prior to the step of:
and training the clothing of the target personnel through an AI training platform to obtain clothing information associated with different target personnel.
4. The supervised-based behavior analysis method of claim 3, wherein the step of acquiring the identification information and the location information of the target person through the image specifically comprises:
and acquiring the image characteristics of the target personnel, identifying the target personnel according to the image characteristics, and projecting the space coordinates of the target personnel in the image frame by frame into a real coordinate system.
5. The prison-based behavior analysis method of claim 4, wherein the image features comprise at least one of face features, apparel information, head-shoulder features, and body features.
6. The supervised-based behavior analysis method of claim 1, wherein the step of obtaining the movement track and the position information of the target person by combining the identification information and the positioning information of the target person and an indoor road network specifically comprises:
and carrying out weighting processing on the face recognition result, the human body recognition result, the positioning information and the spatial position information of the target person in the indoor road network to obtain the motion track and the position information of the target person.
7. The supervised-based behavior analysis method of claim 3, wherein the spatial location relationship comprises a context relationship between the supervised person and the advising person, and a distance relationship between the supervised person and the advising person.
8. The supervised-based behavior analysis method of claim 7, wherein the clothing of the target person is identified according to the clothing information, the spatial coordinates of the clothing are obtained, and the context of the supervised person and the advising person is obtained according to the spatial coordinates.
9. The custody-based behavior analysis method of claim 8, wherein the step of policing the violation by the supervised person by the spatial positional relationship is followed by:
and tracking and monitoring the illegal behaviors of the policemen in the prison, and carrying out graded early warning according to the grades of the illegal behaviors.
10. A prison-based behavior analysis terminal, characterized in that the prison-based behavior analysis terminal comprises a processor and a memory, the processor is connected with the memory in communication, the memory stores a computer program, and the processor executes the prison-based behavior analysis method according to any one of claims 1-9.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113077197A (en) * | 2021-06-08 | 2021-07-06 | 泰豪信息技术有限公司 | Escort personnel consumption supervision method, system, storage medium and equipment |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113077197A (en) * | 2021-06-08 | 2021-07-06 | 泰豪信息技术有限公司 | Escort personnel consumption supervision method, system, storage medium and equipment |
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