Video-Based Detection of Abnormal Behavior in the Examination Room

Yong, Lu; He, Dongjian

doi:10.1109/ifita.2010.139

Cited by 7 publications

(1 citation statement)

References 5 publications

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“…Intelligent video surveillance is a new computer vision field and developed rapidly in recent years, it is a combination of different subjects such as image processing, artificial intelligence, computer science, etc. The intelligent video surveillance [1,2] analyzes the video collecting from the camera automatically, and the analysis results are reported or warned. Among them, examinee identification is an important link in the intelligent video surveillance, through the examinee identification, not only can offer information about the examination room to the supervisor, can also be used to statistical the number in the examination room, can be applied to the analysis of the student's attendance status in class, so it is very important to the study of the examinee identification.…”

Section: Introductionmentioning

confidence: 99%

The Improvement and Implementation of Examinee Identification Algorithm Based on the Video Surveillance

Liu

et al. 2014

AMM

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Making the video invigilation more easy is a hot topic in the research of intelligent monitoring system. This paper proposes the examinee identification algorithm based on the video surveillance. Firstly, transform the video frame to the orthograph by using perspective transformation, extract the desks template, and get the place of desk according to template matching, then get the place of examinee. Comparing the image about no people included and people included will detect whether examinee in his place by using the comprehensive method which is background subtraction and the normalized matching algorithm, so can statistical number of examinees. Experimental results show that this method is simple, has a good real-time performance and robustness.

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Section: Introductionmentioning

confidence: 99%