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. © Springer-Verlag Berlin Heidelberg 2003.
Cite
CITATION STYLE
Moënne-Loccoz, N., Brémond, F., & Thonnat, M. (2003). Recurrent Bayesian network for the recognition of human behaviors from video. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2626, pp. 68–77). Springer Verlag. https://doi.org/10.1007/3-540-36592-3_7
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