Posture-based examination cheating detection method

Abstract

The invention discloses a posture-based examination cheating detection method, which comprises the following steps of: image preprocessing: unifying the image size, performing illumination compensation on an image, and increasing the contrast of the image; extracting posture features of people in the examination room video; obtaining coordinates of key points of people in the image through a deepneural network and completing splicing of human body postures; generating an examinee posture sequence: determining the position of the examinee by adopting a voting-based method, and then generatingthe posture sequence of the examinee in time by taking the Euclidean distance between the centroid of the examinee detected in the image and the position of the examinee as a judgment criterion; identifying suspicious behaviors of examinees; and cheating examinee determination and cheating fragment interception. The posture-based examination cheating detection method can accurately and quickly screen out fragments with cheating suspicion in massive examination monitoring videos, and achieves the purposes of saving manpower expenditure, improving the working efficiency and reducing the video playback cost.

Description

technical field [0001] The invention relates to a method for detecting cheating in exams. Firstly, the posture features of people in the video are extracted, and then the posture features are statistically analyzed to determine whether candidates have cheating behavior. It is suitable for various examination video analysis and belongs to computer vision and video understanding technology. field. Background technique [0002] In order to analyze the test style problems in the test, such as the cheating behavior of the candidates and the inaction of the invigilator, etc., after various tests such as the college entrance examination, the postgraduate examination, the adult self-examination and the academic level test, it is necessary to replay the examination video. Exam video playback tasks require significant time and money costs, especially for large exams. Large-scale exams have dozens of test sites, hundreds of test rooms, and the test takes a long time (usually more than...

AI Technical Summary

Problems solved by technology

This method cannot conduct a comprehensive analysis of the cheating behavior of candidates.

[0006] Publication number CN201910110600 patent "an anti-cheating monitoring system in examination room" uses smart wearable devices, camera modules, positioning modules and monitoring modules to simultaneously detect the heart rate and behavior characteristics of candidates, but such a huge system is not only expensive but also extremely cumbersome to use. almost impossible to promote

[0007] Patent Publication No. CN201010226332 "Intelligent Video Recognition Method for Examination Cheating Events" first extracts the foreground and background of the examination room through the establishment and update of the Gaussian mixture model for the monitoring video of the examination room, and extracts the motion pixel feature value according to the foreground image, and then The eigenvalues ​​of the area where candidates are located in the examination room are extracted and used as the data for the next decision tree judgment, and the corresponding cheating events are judged based on the data of the decision tree, but the system is somewhat one-sided in the detection of cheating behavior of candidates

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