Recurrent Bayesian Network for the Recognition of Human Behaviors from Video

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Abstract. We propose an original bayesian approach to recognize human behaviors from video streams. Mobile objects and their visual features are computed by a vision module. Then, using a Recurrent Bayesian Network, behaviors of the mobile objects are recognized through the temporal evolution of their visual features.

Nicolas Moënne-Loccoz, François Br&eac

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ICVS 2003 | Mobile Objects | Original Bayesian Approach | Visual Features |

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Added	07 Jul 2010
Updated	07 Jul 2010
Type	Conference
Year	2003
Where	ICVS
Authors	Nicolas Moënne-Loccoz, François Brémond, Monique Thonnat

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Recurrent Bayesian Network for the Recognition of Human Behaviors from Video

ICVS 2003 | Mobile Objects | Original Bayesian Approach | Visual Features |

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