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