Adaptive feature selection for real-time face recognition in portable surveillance systems

Wen Chung Kao; Chia Ping Shen; Chin Chung Kao; Ming Chai Hsu; Hung Hsin Wu

doi:10.1109/ICSMC.2007.4413922

Adaptive feature selection for real-time face recognition in portable surveillance systems

Wen Chung Kao^*, Chia Ping Shen, Chin Chung Kao, Ming Chai Hsu, Hung Hsin Wu

^*Corresponding author for this work

Department of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

Real-time face recognition is a necessary feature in advanced portable surveillance systems. However, the high complexity of available algorithms to objects segmentation and recognition makes it impossible to include such a feature into a portable device. In this paper, we aim at designing a portable surveillance system which can take MPEG audio/video currently with recognizing human faces based on a digital camera platform. The proposed flow fully utilizes the available intermediate data passing from standard video compression flow in a digital camera. An efficient face recognition approach based on adaptive feature extraction and support vector machines (SVMs) are proposed to address the performance issues. The experimental result shows that the recognition speed running on a commercial digital camera platform can achieve 1.216 seconds/frame.

Original language	English
Title of host publication	2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007
Pages	1083-1087
Number of pages	5
DOIs	https://doi.org/10.1109/ICSMC.2007.4413922
Publication status	Published - 2007
Event	2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007 - Montreal, QC, Canada Duration: 2007 Oct 7 → 2007 Oct 10

Publication series

Name	Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
ISSN (Print)	1062-922X

Other

Other	2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007
Country/Territory	Canada
City	Montreal, QC
Period	2007/10/07 → 2007/10/10

ASJC Scopus subject areas

General Engineering

Access to Document

10.1109/ICSMC.2007.4413922

Cite this

Kao, W. C., Shen, C. P., Kao, C. C., Hsu, M. C., & Wu, H. H. (2007). Adaptive feature selection for real-time face recognition in portable surveillance systems. In 2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007 (pp. 1083-1087). Article 4413922 (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics). https://doi.org/10.1109/ICSMC.2007.4413922

Adaptive feature selection for real-time face recognition in portable surveillance systems. / Kao, Wen Chung; Shen, Chia Ping; Kao, Chin Chung et al.
2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007. 2007. p. 1083-1087 4413922 (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kao, WC, Shen, CP, Kao, CC, Hsu, MC & Wu, HH 2007, Adaptive feature selection for real-time face recognition in portable surveillance systems. in 2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007., 4413922, Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, pp. 1083-1087, 2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007, Montreal, QC, Canada, 2007/10/07. https://doi.org/10.1109/ICSMC.2007.4413922

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Adaptive feature selection for real-time face recognition in portable surveillance systems

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