Recurrent Bayesian Network for the Recognition of Human Behaviors from Video

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.

• Type: Conference
• Year: 2003
• Where: ICVS
• Authors: Nicolas Moënne-Loccoz, François Brémond, Monique Thonnat
• Keywords: ICVS 2003, Mobile Objects, Original Bayesian Approach, Visual Features