OpenPose-based cheating action auxiliary identification method and system

A recognition method and motion technology, applied in character and pattern recognition, instruments, computer components, etc., can solve problems such as untimely discovery of motions, large visual blind spots, errors in proctoring, etc., to overcome the problem of singleness, improve image quality, The effect of easy operation

Inactive Publication Date: 2019-06-07
QILU UNIV OF TECH
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  • Summary
  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Manual monitoring has both advantages and disadvantages. For example, the range of sight is limited, the visual blind spot is large, and emergencies need to be dealt with by invigilators, which reduces the intensity of invigilation.
Video surveillance also requires manual invigilation, and some subtle movements cannot be detected in time, resulting in invigilation errors and making the exam lose its relative fairness

Method used

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  • OpenPose-based cheating action auxiliary identification method and system
  • OpenPose-based cheating action auxiliary identification method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0061] Embodiment 1, this embodiment provides an OpenPose-based cheating action auxiliary recognition method;

[0062] Such as figure 1 As shown, the cheating action-assisted identification method based on OpenPose includes:

[0063] Utilize video monitoring to obtain the real-time monitoring video of the examinee in the examination room; Input the real-time monitoring video into the OpenPose system to obtain the real-time action skeleton sequence of the examinee; the skeleton is as follows figure 2 As shown, the examinee’s real-time action skeleton sequence includes the examinee’s body joint points and the coordinates of the corresponding joint points; each joint point is provided with a unique number;

[0064] According to the candidate's real-time action skeleton sequence, calculate the candidate's real-time limb angle set sequence;

[0065] According to the candidate's real-time body angle set sequence, the probability of the candidate's cheating behavior is calculated;...

Embodiment 2

[0087] Embodiment 2. This embodiment provides an OpenPose-based cheating action auxiliary recognition system;

[0088] An auxiliary recognition system for cheating actions based on OpenPose, including:

[0089] Skeleton sequence acquisition module: input the examinee's real-time monitoring video into the OpenPose system to obtain the examinee's real-time action skeleton sequence;

[0090] Body angle set sequence acquisition module: calculate the candidate's real-time body angle set sequence according to the candidate's real-time action skeleton sequence;

[0091] Cheating behavior judgment module: Calculate the probability that the candidate has cheating behavior according to the candidate's real-time body angle set sequence; if the probability is greater than the set threshold, output the result of cheating behavior.

Embodiment 3

[0092] Embodiment 3, this embodiment provides an electronic device;

[0093] An electronic device includes: a memory, a processor, and computer instructions stored in the memory and run on the processor. When the computer instructions are run by the processor, the steps described in the method of the first aspect are completed.

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Abstract

The invention discloses an OpenPose-based cheating action auxiliary identification method and system. The method comprises the steps of obtaining real-time monitoring videos of examinees in an examination room by utilizing video monitoring; inputting the real-time monitoring video into an OpenPose system to obtain a real-time action skeleton sequence of the examinee, wherein the examinee real-timeaction skeleton sequence comprises examinee body articulation points and coordinates corresponding to the articulation points, and each joint point is provided with a unique number; calculating a real-time limb angle set sequence of the examinee according to the real-time action skeleton sequence of the examinee; according to the examinee real-time limb angle set sequence, calculating the probability of cheating behaviors of the examinee; and if the probability is greater than the set threshold, outputting a result of the cheating behavior.

Description

technical field [0001] The present disclosure relates to the technical field of behavior recognition, and in particular to an OpenPose-based cheating motion auxiliary recognition method and system. Background technique [0002] The statements in this section merely mention background art related to the present disclosure and do not necessarily constitute prior art. [0003] Anti-cheating methods in modern examination rooms are generally identification of identity information, communication signals and metal detection, etc. There are many methods, but once you enter the examination room and start the test, you only rely on people to distinguish cheating behavior. The network monitoring system is still limited to LAN monitoring. With the continuous development of security technology, networking has promoted the monitoring technology of the examination room, from local monitoring to remote monitoring, from LAN monitoring to network monitoring. After all, it depends on people. ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
Inventor 冯超王庆瑞李庆华王红红李研强孙皓东张文清刘俊玮赵忠泰
Owner QILU UNIV OF TECH
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