An automatic face detection and recognition system for video indexing applications

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Author

E Acosta, L Torres, A Albiol, E Delp

Entry type

article

Abstract

The objective of this work is the integration and optimization of an automatic face detection and recognition system for video indexing applications. The system is composed of a face detection stage presented previously which provides good results while maintaining a low computational cost (see Albiol, A. et al., Proc. IEEE Int. Conf. on Image Proc., vol.2, p.239-42, 2000). The recognition stage is based on the principal component analysis (PCA) approach which has been modified to cope with the video indexing application. After the integration of the two stages, several improvements are proposed which increase the face detection and recognition rate and the overall performance of the system. Good results have been obtained using the MPEG-7 video content set used in the MPEG-7 evaluation group.

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Date

2002

URL

http://ieeexplore.ieee.org/iel ... ber=&arnumber=1004706

Journal

Acoustics, Speech, and Signal Processing, 2002. Proceedings. (ICASSP '02). IEEE International Conference on

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Delp

Pages

IV-3644- IV-3647

Volume

Publication Date

2002-01-01

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@Article{ Delp,
	title = "An automatic face detection and recognition system for video indexing applications",
	author = "E Acosta, L Torres, A Albiol, E Delp ",
	year = "2002",
	journal = "Acoustics, Speech, and Signal Processing, 2002. Proceedings. (ICASSP '02). IEEE International Conference on",
	pages = "IV-3644- IV-3647",
	volume = "4",
	abstract = "The objective of this work is the integration and optimization of an automatic face detection and recognition system for video indexing applications. The system is composed of a face detection stage presented previously which provides good results while maintaining a low computational cost (see Albiol, A. et al., Proc. IEEE Int. Conf. on Image Proc., vol.2, p.239-42, 2000). The recognition stage is based on the principal component analysis (PCA) approach which has been modified to cope with the video indexing application. After the integration of the two stages, several improvements are proposed which increase the face detection and recognition rate and the overall performance of the system. Good results have been obtained using the MPEG-7 video content set used in the MPEG-7 evaluation group.",
	url = "http://ieeexplore.ieee.org/iel5/7874/21686/01004706.pdf?tp=&isnumber=&arnumber=1004706",
}