6533b874fe1ef96bd12d60e0

RESEARCH PRODUCT

Implementation of pattern recognition algorithm based on RBF neural network

Vincent BrostMichel PaindavoineJean-claude GrapinSophie BouchouxFan Yang

subject

Digital signal processorArtificial neural networkPixelComputer sciencebusiness.industryPattern recognitionPattern recognition (psychology)Identity (object-oriented programming)Radial basis functionComputer visionArtificial intelligencebusinessAlgorithmImplementationDigital signal processing

description

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.

yearjournalcountryeditionlanguage
2002-12-01SPIE Proceedings
https://doi.org/10.1117/12.452060