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Proceedings Paper

Method of student identification in the context of college classroom
Author(s): Bo Sun; Meng Guo; Jun He; Lejun Yu
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Paper Abstract

In order to study the learning behaviors of college students, we need to identify students with the monitoring videos in the context of college classroom. We analyze the main challenges of face recognition under classroom conditions, and propose a face recognition method via combining multi-feature with alignment preprocessing. Obviously, the more identification photos per student may improve the recognition accuracy and the computational complexity simultaneously. Aiming at the practical use, we not only study on the accuracy but also the efficiency of the proposed method. We use the practical classroom videos and standard face databases to explore the best feature fusion strategies and prove the universality of the method.

Paper Details

Date Published: 14 September 2016
PDF: 9 pages
Proc. SPIE 9970, Optics and Photonics for Information Processing X, 997012 (14 September 2016); doi: 10.1117/12.2235675
Show Author Affiliations
Bo Sun, Beijing Normal Univ. (China)
Meng Guo, Beijing Normal Univ. (China)
Jun He, Beijing Normal Univ. (China)
Lejun Yu, Beijing Normal Univ. (China)


Published in SPIE Proceedings Vol. 9970:
Optics and Photonics for Information Processing X
Khan M. Iftekharuddin; Abdul A. S. Awwal; Mireya García Vázquez; Andrés Márquez; Mohammad A. Matin, Editor(s)

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