CN110930568A - Video anti-trailing system and method - Google Patents
Video anti-trailing system and method Download PDFInfo
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- CN110930568A CN110930568A CN201911235360.9A CN201911235360A CN110930568A CN 110930568 A CN110930568 A CN 110930568A CN 201911235360 A CN201911235360 A CN 201911235360A CN 110930568 A CN110930568 A CN 110930568A
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/20—Movements or behaviour, e.g. gesture recognition
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- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B13/00—Burglar, theft or intruder alarms
- G08B13/18—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
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- G08B13/196—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
- G08B13/19602—Image analysis to detect motion of the intruder, e.g. by frame subtraction
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- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
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- G08B13/189—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
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- G08B13/19608—Tracking movement of a target, e.g. by detecting an object predefined as a target, using target direction and or velocity to predict its new position
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- G08B13/189—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
- G08B13/194—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
- G08B13/196—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
- G08B13/19602—Image analysis to detect motion of the intruder, e.g. by frame subtraction
- G08B13/19613—Recognition of a predetermined image pattern or behaviour pattern indicating theft or intrusion
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Abstract
The invention discloses a video anti-tailing system, which comprises: the system comprises a passenger passage system, a trailing detection system and a background management module, wherein the passenger passage system and the trailing detection system are respectively in communication connection with the background management module; the trailing detection system comprises: the system comprises an image acquisition module, an abnormal peripheral module and a processing module. A video anti-tailing method, comprising: s1: collecting an image of the detection area; s2: analyzing the collected image and judging whether the image trails or not; s3: when the trailing is detected, sending a trailing signal; s4: and alarming and closing the gate channel. The pedestrian detection anti-trailing method based on the video analysis is applied to pedestrian detection anti-trailing, the accuracy rate can reach more than 95%, and the energy consumption of workers is liberated while the efficient anti-trailing is realized. The system can be linked with the alarm equipment, the gate equipment and the video equipment to realize trailing multidirectional linkage control, and has strong environmental adaptability.
Description
Technical Field
The invention relates to the technical field of security protection, in particular to a video anti-trailing system and a video anti-trailing method.
Background
The video anti-following device is applied to pedestrian passages and safety doors needing identity verification, and is widely applied to public places and safety places such as airports, stations, banks, parks and the like. The traditional channel anti-trailing mainly depends on a mechanical interception device, a photoelectric sensing device and a manual intervention mode, the anti-trailing efficiency is low, potential safety hazards exist, and the passing experience is influenced.
Disclosure of Invention
In view of this, the invention provides a video anti-following system and method for improving anti-following efficiency and accuracy. The specific contents are as follows:
a video anti-tailing system, comprising: the system comprises a passenger passage system, a trailing detection system and a background management module, wherein the passenger passage system and the trailing detection system are respectively in communication connection with the background management module;
the trailing detection system comprises: the image acquisition module is used for acquiring an image of the detection area; the abnormal peripheral module is used for sending out alarm information; and the processing module is electrically connected with the image acquisition module and the abnormal peripheral module and is used for analyzing the image and sending an alarm signal to the abnormal peripheral module according to an analysis result.
Furthermore, the trailing detection system further comprises a power supply module electrically connected with the processing module and used for supplying power to the processing module.
Further, the passenger passage system comprises a gate passage and a control module, wherein the control module is used for controlling the opening and closing of the gate passage, and the detection area is arranged in the gate passage; and the background management module is in communication connection with the processing module and the control module respectively.
A video anti-following method is applied to the video anti-following system and comprises the following steps:
s1: collecting an image of the detection area;
s2: analyzing the collected video image and judging whether the video image trails or not;
s3: when the trailing is detected, sending a trailing signal;
s4: and alarming and closing the gate channel.
Further, the "S2: analyzing the acquired image, comprising: analyzing and extracting the video image and tracking a target by adopting a multi-target tracking method, wherein the multi-target tracking method comprises the following steps:
s21: establishing a pre-training target detection model;
s22: initializing a global tracker;
s23: performing target detection on the video image acquired by the acquisition device by using the pre-training target detection model to acquire a target position coordinate;
s24: acquiring the actual position coordinates and the predicted position coordinates of each tracking target;
s25: respectively carrying out cross calculation on the target position coordinates, the actual position coordinates and the predicted position coordinates of each tracking target to obtain Jaccard coefficients;
s26: and analyzing the maximum matching coefficient and updating the robust state of each tracking target to obtain target tracking information.
Further, the condition that the target extraction and tracking needs to be met includes: the target is a moving body, and the target is matched with a pre-training target detection model in a preset region range.
Further, the "S3: when a tail is detected, a tail signal is sent out, including: and when more than one person enters the detection area, sending a trailing signal.
Further, "extracting and tracking objects" includes: and extracting and recording the movement time, position, speed and movement direction of the target.
The invention has the beneficial effects that:
the pedestrian detection anti-trailing method based on the video analysis is applied to pedestrian detection anti-trailing, the accuracy rate can reach more than 95%, and the energy consumption of workers is liberated while the efficient anti-trailing is realized. The system can be linked with the alarm equipment, the gate equipment and the video equipment to realize trailing multidirectional linkage control, and has strong environmental adaptability.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a schematic structural diagram illustrating a video anti-tailing system according to an embodiment of the present invention;
description of reference numerals:
100-trailing detection system, 1-image acquisition module, 2-abnormal peripheral module, 3-processing module, 4-background management module, 5-power supply module, 200-passenger channel system, 6-gate channel and 7-control module.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
A video anti-tailing system, comprising: passenger pathway system 200, trailing detection system 100, and background management module 4. The passenger passage system and the trailing detection system are respectively in communication connection with the background management module.
The trailing detection system comprises: the system comprises an image acquisition module 1, an abnormal peripheral module 2, a processing module 3 and a power supply module 5.
The image acquisition module 1 is used for acquiring images of the detection area, and the image acquisition module can be a camera or other shooting devices. And the abnormal peripheral module 2 is used for sending alarm information and comprises an alarm lamp and a nixie tube which can play a warning role. And the Processing module 3 is electrically connected with the image acquisition module 1 and the abnormal peripheral module 2, and is configured to analyze the acquired image and send alarm information to the abnormal peripheral module 2 according to an analysis result, and the Processing module 3 may be a GPU (Graphics Processing Unit).
And the background management module 4 is connected with the processing module 3 through a network and is used for sending a trailing detection starting instruction to the trailing detection system 100, and uploading trailing information to the background management module 4 to inform a worker of trailing when a trailing is detected. The background management module can also store video/image information, alarm information and information on the number of passengers passing through the system, which are collected in the detection area. And the power supply module is electrically connected with the processing module and used for supplying power to the processing module.
The passenger passage system comprises a gate passage 6 and a control module 7, wherein the control module 7 is in communication connection with the background management module 4 and is used for controlling the opening and closing of the gate passage. When the tail is detected, the background management module sends a closing instruction to the control module 7 to close the gate channel. The detection area is arranged in the gate passage.
The video anti-tailing system comprises the following working processes: the method comprises the steps that a passenger channel system is started, TCP (Transmission Control Protocol) connection is established between the passenger channel system and a trailing detection system, the number of pedestrians entering a detection area in a gate channel is detected by a camera for 24 hours, a processing module analyzes acquired images, if more than one person is detected to enter the detection area, the acquired images are judged to be trailing, an alarm signal is sent to an abnormal peripheral module, and trailing information is sent to a background management module. The background management module sends an instruction to the control module to close the gate channel, and sends an instruction to the control module to open the gate after the alarm is released.
A video anti-following method is applied to the video anti-following system and comprises the following steps:
s1: and acquiring a video image of the detection area. The image acquisition module is used for carrying out video/image acquisition on the gate channel.
S2: the processing module analyzes the collected video image and judges whether the video image trails or not;
s3: when the processing module detects the trailing, a trailing signal is sent out;
s4: and the abnormal peripheral module gives an alarm, and the background management module sends a signal to the control module to close the gate channel.
The "S2: analyzing the acquired video image, comprising: and extracting and tracking the target by adopting a target tracking method. When the target simultaneously meets the following conditions, the system extracts and tracks the target: 1. the target is a moving body, 2, the target is in a preset area range, 3, and the target meets a preset target detection model. And extracting and recording the movement time, position, speed and movement direction of the target.
The target tracking method comprises the following steps:
s21: establishing a pre-training target detection model;
firstly, collecting a pedestrian labeling data set which comprises 10000 picture training sets and 1000 picture testing sets, and labeling a human body on each picture. And then constructing a deep learning neural network target detection model to train on a training set of the data set.
S22: initializing a global tracker;
before the collected video is input into each frame of image, a global pedestrian tracker is initialized, and the global pedestrian tracker comprises an actual pedestrian tracking target set and a buffering pedestrian tracking target set.
S23: and performing target detection on the video image acquired by the acquisition device by using the pre-training target detection model to obtain a target set to be matched and a corresponding position coordinate set detected in the current frame image.
S24: acquiring the actual position coordinates and the predicted position coordinates of each tracked target in the image;
and S25, respectively carrying out cross calculation on the position coordinates of the target to be matched obtained in S23, the actual position coordinates and the predicted position coordinates of each tracked target obtained in S24 to obtain Jaccard coefficients, wherein the calculation formula is J (A, B) = | A ∩ B |/| A ∪ B |.
S26: and analyzing the maximum matching coefficient and updating the robust state of each tracking target to obtain tracking information.
And judging the result output by the multi-target tracking method, and when more than one tracking target enters the detection area and is judged to be trailing, sending a trailing signal to the abnormal peripheral module by the processing module, and giving an alarm by the abnormal peripheral module. The gate passage door is closed; when only one person or no person exists in the detection area, the trailing alarm is released, and the gate access door is opened. The trailing detection system and the passenger passage system realize linkage by establishing TCP connection, and the trailing detection system can send the number of passengers to the background management module in real time.
The system eliminates frame jitter by adopting time difference comparison, and ensures that a correct and stable detection result is output.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, elements recited by the phrase "comprising a" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
Finally, it is to be noted that: the above description is only a preferred embodiment of the present invention, and is only used to illustrate the technical solutions of the present invention, and not to limit the protection scope of the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention shall fall within the protection scope of the present invention.
Claims (8)
1. A video anti-tailing system, comprising: the system comprises a passenger passage system, a trailing detection system and a background management module, wherein the passenger passage system and the trailing detection system are respectively in communication connection with the background management module;
the trailing detection system comprises: the image acquisition module is used for acquiring an image of the detection area; the abnormal peripheral module is used for sending out alarm information; and the processing module is electrically connected with the image acquisition module and the abnormal peripheral module and is used for analyzing the image and sending an alarm signal to the abnormal peripheral module according to an analysis result.
2. The video anti-tailing system of claim 1, further comprising a power module electrically connected to the processing module for powering the processing module.
3. The video anti-tailing system of claim 1, characterized in that the passenger passage system comprises a gate passage and a control module for controlling the opening and closing of the gate passage, the detection area being provided in the gate passage; and the background management module is in communication connection with the processing module and the control module respectively.
4. A video anti-tailing method applied to the video anti-tailing system according to any one of claims 1 to 3, characterized by comprising:
s1: collecting an image of the detection area;
s2: analyzing the collected image and judging whether the image trails or not;
s3: when the trailing is detected, sending a trailing signal;
s4: and alarming and closing the gate channel.
5. The video anti-tailing method of claim 4, wherein the "S2: analyzing the acquired image, comprising: analyzing the image by adopting a multi-target tracking method, and extracting and tracking a target; the multi-target tracking method comprises the following steps:
s21: establishing a pre-training target detection model;
s22: initializing a global tracker;
s23: carrying out target detection on the acquired image by using the pre-training target detection model to obtain a target position coordinate;
s24: acquiring the actual position coordinates and the predicted position coordinates of each tracked target;
s25: respectively carrying out cross calculation on the target position coordinates, the actual position coordinates and the predicted position coordinates of each tracked target to obtain Jaccard coefficients;
s26: and analyzing the maximum matching coefficient and updating the robust state of each tracked target to obtain target tracking information.
6. The video anti-tailing method of claim 5, wherein the condition that the target extraction and tracking needs to meet is as follows: the target is a moving body, and the target is matched with a pre-training target detection model in a preset region range.
7. The video anti-tailing method of claim 6, wherein the "S3: when a tail is detected, a tail signal is sent out, including: and when more than one person enters the detection area, sending a trailing signal.
8. The video anti-tailing method of claim 5, wherein "extracting and tracking objects" comprises: and extracting and recording the movement time, position, speed and movement direction of the target.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112233289A (en) * | 2020-09-04 | 2021-01-15 | 常州方可为机械科技有限公司 | Intelligent driving system for gate |
| CN113593099A (en) * | 2020-04-30 | 2021-11-02 | 深圳云天励飞技术有限公司 | Gate control method, device and system, electronic equipment and storage medium |
| CN117576633A (en) * | 2024-01-16 | 2024-02-20 | 江苏辰鹏信息技术有限公司 | Social security and protection control system intelligent sensing system based on machine vision |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105430353A (en) * | 2015-12-28 | 2016-03-23 | 王成财 | Fare evasion preventing video monitoring method and fare evasion preventing video monitoring device |
| CN107146314A (en) * | 2017-06-29 | 2017-09-08 | 合肥川达信息科技有限责任公司 | A kind of gate inhibition's access control device |
| CN108154118A (en) * | 2017-12-25 | 2018-06-12 | 北京航空航天大学 | A kind of target detection system and method based on adaptive combined filter with multistage detection |
| US10019631B2 (en) * | 2015-11-05 | 2018-07-10 | Qualcomm Incorporated | Adapting to appearance variations when tracking a target object in video sequence |
| CN108280952A (en) * | 2018-01-25 | 2018-07-13 | 盛视科技股份有限公司 | A kind of passenger's trailing monitoring method based on foreground object segmentation |
| CN108280435A (en) * | 2018-01-25 | 2018-07-13 | 盛视科技股份有限公司 | A kind of passenger's abnormal behaviour recognition methods based on human body attitude estimation |
| CN109035517A (en) * | 2018-07-25 | 2018-12-18 | 重庆伴云信息技术有限公司 | A kind of cell intelligent safety and defence system for preventing from illegally entering |
| CN109785368A (en) * | 2017-11-13 | 2019-05-21 | 腾讯科技（深圳）有限公司 | A kind of method for tracking target and device |
| US20190325259A1 (en) * | 2018-04-12 | 2019-10-24 | Discovery Communications, Llc | Feature extraction and machine learning for automated metadata analysis |
-
2019
- 2019-12-05 CN CN201911235360.9A patent/CN110930568A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10019631B2 (en) * | 2015-11-05 | 2018-07-10 | Qualcomm Incorporated | Adapting to appearance variations when tracking a target object in video sequence |
| CN105430353A (en) * | 2015-12-28 | 2016-03-23 | 王成财 | Fare evasion preventing video monitoring method and fare evasion preventing video monitoring device |
| CN107146314A (en) * | 2017-06-29 | 2017-09-08 | 合肥川达信息科技有限责任公司 | A kind of gate inhibition's access control device |
| CN109785368A (en) * | 2017-11-13 | 2019-05-21 | 腾讯科技（深圳）有限公司 | A kind of method for tracking target and device |
| CN108154118A (en) * | 2017-12-25 | 2018-06-12 | 北京航空航天大学 | A kind of target detection system and method based on adaptive combined filter with multistage detection |
| CN108280952A (en) * | 2018-01-25 | 2018-07-13 | 盛视科技股份有限公司 | A kind of passenger's trailing monitoring method based on foreground object segmentation |
| CN108280435A (en) * | 2018-01-25 | 2018-07-13 | 盛视科技股份有限公司 | A kind of passenger's abnormal behaviour recognition methods based on human body attitude estimation |
| US20190325259A1 (en) * | 2018-04-12 | 2019-10-24 | Discovery Communications, Llc | Feature extraction and machine learning for automated metadata analysis |
| CN109035517A (en) * | 2018-07-25 | 2018-12-18 | 重庆伴云信息技术有限公司 | A kind of cell intelligent safety and defence system for preventing from illegally entering |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113593099A (en) * | 2020-04-30 | 2021-11-02 | 深圳云天励飞技术有限公司 | Gate control method, device and system, electronic equipment and storage medium |
| CN112233289A (en) * | 2020-09-04 | 2021-01-15 | 常州方可为机械科技有限公司 | Intelligent driving system for gate |
| CN117576633A (en) * | 2024-01-16 | 2024-02-20 | 江苏辰鹏信息技术有限公司 | Social security and protection control system intelligent sensing system based on machine vision |
| CN117576633B (en) * | 2024-01-16 | 2024-03-15 | 江苏辰鹏信息技术有限公司 | Social security and protection control system intelligent sensing system based on machine vision |
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