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Proceedings Paper

Real-time implementation of face tracking on DSP TMS320C6x embedded system
Author(s): Vincent Brost; Sophie Bouchoux; Fan Yang; Michel Paindavoine; Jean-Claude Grapin
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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 (240 x 320 pixels) per second with a correct rate of 95% of faces tracking and identity verification.

Paper Details

Date Published: 1 August 2003
PDF: 6 pages
Proc. SPIE 4948, 25th International Congress on High-Speed Photography and Photonics, (1 August 2003); doi: 10.1117/12.516950
Show Author Affiliations
Vincent Brost, Le2i, Univ. de Bourgogne (France)
Sophie Bouchoux, Le2i, Univ. de Bourgogne (France)
Fan Yang, Le2i, Univ. de Bourgogne (France)
Michel Paindavoine, Le2i, Univ. de Bourgogne (France)
Jean-Claude Grapin, Le2i, Univ. de Bourgogne (France)


Published in SPIE Proceedings Vol. 4948:
25th International Congress on High-Speed Photography and Photonics
Claude Cavailler; Graham P. Haddleton; Manfred Hugenschmidt, Editor(s)

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