Examination cheating detection method based on posture

Abstract

The invention discloses an examination cheating detection method based on postures. The method comprises: through a posture estimation method, acquiring a human body posture sequence in the video; using a sliding window method for detecting characteristics and changes of postures in the window, analyzing the posture state, judging whether a cheating action is a suspected cheating action or not according to the characteristics of the cheating characteristics, further capturing a hand image of the cheating action, and judging whether a paper slip or a mobile phone or other cheating tools exist on the hand or not through an image detection method. The posture of an examinee is obtained by using the posture estimation algorithm. The state of the examinee is recognized through kinematic analysis on a human skeleton sequence, reliability is higher, and the examinee is not affected by the environment of an examination room. Cheating behaviors are detected from human body posture motion data,whether the cheating suspicion exists or not is judged according to posture data changes in space and time, and the detection method better conforms to the thinking of people and is more accurate, more visual and more specific.

Description

technical field [0001] The invention belongs to the technical field of computer vision, and in particular relates to a posture-based examination cheating detection method. Background technique [0002] Event-based video surveillance can be said to be a relatively new field in my country, but there are already many units concerned about the development and demand of intelligent event monitoring products, and more and more entities have joined this ranks. Related video (visual ) / The research on image processing and analysis technology has gradually attracted the attention and attention of scholars, governments and businesses. [0003] At present, after various examinations such as college entrance examination, postgraduate examination, self-examination and academic level test, a large amount of manpower is needed to watch the examination video to analyze the examination style problems in the examination, such as candidates cheating in the examination, invigilator inaction, etc....

AI Technical Summary

Problems solved by technology

[0004] Most of the solutions proposed for similar problems today are based on image information and optical flow analysis, such as Ding Miaomiao’s research on intelligent proctoring methods based on surveillance video in examination rooms, etc., but such methods have certain requirements for the quality of the image itself, and The detection efficiency is low and it is not practical

Images