Research of algorithm for detecting suspected cheating behaviorin examination surveillance video

DOI

10.2991/iiicec-15.2015.165How to use a DOI?

Keywords

Examination surveillance; video detection; intelligent processing

Abstract

It is difficult to review vast amounts of examination surveillance videos recently. In this paper, an algorithm for detecting suspected cheating behavior in examination surveillance video is proposed to solve this problem. The algorithm is based on adjacent frame difference algorithm, optical flow method and background difference method and optimizes them to detect suspected cheating from original examination surveillance videos. Then, the censors review the detected videos which contain the suspected cheating behavior and determine whether there is any cheating directly. This process is equivalent to review the original video review, thus the workload of reviewing original examination surveillance videos is reduced.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Xinda Qi
PY  - 2015/03
DA  - 2015/03
TI  - Research of algorithm for detecting suspected cheating behaviorin examination surveillance video
BT  - Proceedings of the 2015 International Industrial Informatics and Computer Engineering Conference
PB  - Atlantis Press
SP  - 732
EP  - 735
SN  - 2352-538X
UR  - https://doi.org/10.2991/iiicec-15.2015.165
DO  - 10.2991/iiicec-15.2015.165
ID  - Qi2015/03
ER  -