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Proceedings Paper

Implementation of pattern recognition algorithm based on RBF neural network
Author(s): Sophie Bouchoux; Vincent Brost; Fan Yang; Jean Claude Grapin; Michel Paindavoine
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Paper Abstract

In this paper, we present implementations of a pattern recognition algorithm which uses a RBF (Radial Basis Function) neural network. Our aim is to elaborate a quite efficient system which realizes real time faces tracking and identity verification in natural video sequences. Hardware implementations have been realized on an embedded system developed by our laboratory. This system is based on a DSP (Digital Signal Processor) TMS320C6x. The optimization of implementations allow us to obtain a processing speed of 4.8 images (240x320 pixels) per second with a correct rate of 95% of faces tracking and identity verification.

Paper Details

Date Published: 6 December 2002
PDF: 11 pages
Proc. SPIE 4791, Advanced Signal Processing Algorithms, Architectures, and Implementations XII, (6 December 2002); doi: 10.1117/12.452060
Show Author Affiliations
Sophie Bouchoux, Univ. of Burgundy (France)
Vincent Brost, Univ. of Burgundy (France)
Fan Yang, Univ. of Burgundy (France)
Jean Claude Grapin, 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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