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Proceedings Paper

Face tracking and recognition: from algorithm to implementation
Author(s): Nicolas Malasne; Fan Yang; Michel Paindavoine
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Paper Abstract

This paper describes a system capable of realizing a face detection and tracking in video sequences. In developing this system, we have used a RBF neural network to locate and categorize faces of different dimensions. The face tracker can be applied to a video communication system which allows the users to move freely in front of the camera while communicating. The system works at several stages. At first, we extract useful parameters by a low-pass filtering to compress data and we compose our codebook vectors. Then, the RBF neural network realizes a face detection and tracking on a specific board.

Paper Details

Date Published: 6 December 2002
PDF: 8 pages
Proc. SPIE 4791, Advanced Signal Processing Algorithms, Architectures, and Implementations XII, (6 December 2002); doi: 10.1117/12.452000
Show Author Affiliations
Nicolas Malasne, Univ. of Burgundy (France)
Fan Yang, Univ. of Burgundy (France)
Michel Paindavoine, Univ. of Burgundy (France)


Published in SPIE Proceedings Vol. 4791:
Advanced Signal Processing Algorithms, Architectures, and Implementations XII
Franklin T. Luk, Editor(s)

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