Proceedings of the 2016 International Conference on Education, Management and Computer Science

Students Status Analysis and Class Teaching Effect Evaluation System Based on the Analysis of Monitoring Video

Authors
Qingxiang Wang
Corresponding Author
Qingxiang Wang
Available Online May 2016.
DOI
https://doi.org/10.2991/icemc-16.2016.113How to use a DOI?
Keywords
Video analysis; Students status analysis; Teaching effect evaluation; Video processing; Monitoring video
Abstract
Students status analysis is important to the teaching effect evaluation and improvement. In this paper, we propose a method to acquire the status of students by analyzing the monitoring video processing. We use the HD cameras in front of the classroom to capture the real time class video and transmit it to the servers for processing. For students status analysis, we firstly extract the student area by foreground and background segmentation and then use the skin color detection and AdaBoost classifier to find the faces of students. At last pattern recognition method is used to find the student's status. The statistical results of status could be given to the teachers for improving their teaching effect.
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Proceedings
2016 International Conference on Education, Management and Computer Science
Part of series
Advances in Intelligent Systems Research
Publication Date
May 2016
ISBN
978-94-6252-202-2
ISSN
1951-6851
DOI
https://doi.org/10.2991/icemc-16.2016.113How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Qingxiang Wang
PY  - 2016/05
DA  - 2016/05
TI  - Students Status Analysis and Class Teaching Effect Evaluation System Based on the Analysis of Monitoring Video
BT  - 2016 International Conference on Education, Management and Computer Science
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/icemc-16.2016.113
DO  - https://doi.org/10.2991/icemc-16.2016.113
ID  - Wang2016/05
ER  -