Face tracking and recognition: from algorithm to implementation

Nicolas Malasne; Fan Yang; Michel Paindavoine

doi:10.1117/12.452000

6 December 2002 Face tracking and recognition: from algorithm to implementation

Nicolas Malasne, Fan Yang, Michel Paindavoine

Proceedings Volume 4791, Advanced Signal Processing Algorithms, Architectures, and Implementations XII; (2002) https://doi.org/10.1117/12.452000
Event: International Symposium on Optical Science and Technology, 2002, Seattle, WA, United States

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.

Citation Download Citation

Nicolas Malasne, Fan Yang, and Michel Paindavoine "Face tracking and recognition: from algorithm to implementation", Proc. SPIE 4791, Advanced Signal Processing Algorithms, Architectures, and Implementations XII, (6 December 2002); https://doi.org/10.1117/12.452000

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