6 December 2002 Implementation of pattern recognition algorithm based on RBF neural network
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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.
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Sophie Bouchoux, Vincent Brost, Fan Yang, Jean Claude Grapin, Michel Paindavoine, "Implementation of pattern recognition algorithm based on RBF neural network", Proc. SPIE 4791, Advanced Signal Processing Algorithms, Architectures, and Implementations XII, (6 December 2002); doi: 10.1117/12.452060; https://doi.org/10.1117/12.452060
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