Examination cheating detection method based on posture

A detection method and attitude technology, applied in the field of computer vision, can solve problems such as impracticality and low detection efficiency, and achieve high reliability, accurate and credible detection results

Active Publication Date: 2019-07-19
沈阳图为科技有限公司
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  • Application Information

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 ba

Method used

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  • Examination cheating detection method based on posture
  • Examination cheating detection method based on posture
  • Examination cheating detection method based on posture

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Embodiment Construction

[0023] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0024] A candidate posture segmentation and smoothing method, the process is as follows figure 1 As shown, it specifically includes the following steps:

[0025] Step 1: Set a sliding window with a length of 3 frames, and read the joint point data of the pose in the sliding window;

[0026] Step 2: Calculate the movement distance of the wrist joint point in the first frame and the third frame in the sliding window, and use the Euclidean distance to calculate If Hand_dis j >20, the gesture flag is set to true, indicating that the gesture has signs of large hand movement, and the frame number j' ...

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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....

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/28G06V20/41G06F18/24Y02D10/00
Inventor 石祥滨刘翠微刘芳李浩文张德园武卫东李照奎毕静代钦王佳代海龙杨啸宇王俊远
Owner 沈阳图为科技有限公司
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