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Hunan Interaction Recognition with a Network of Dynamic Probabilistic Models  

Suk, Heung-Il (고려대학교 컴퓨터학과)
Lee, Seong-Whan (고려대학교 정보통신대학 컴퓨터.통신공학부)
Publication Information
Journal of KIISE:Software and Applications / v.36, no.11, 2009 , pp. 955-959 More about this Journal
Abstract
In this paper, we propose a novel method for analyzing human interactions based on the walking trajectories of human subjects. Our principal assumption is that an interaction episode is composed of meaningful smaller unit interactions, which we call 'sub-interactions.' The whole interactions are represented by an ordered concatenation or a network of sub-interaction models. From the experiments, we could confirm the effectiveness and robustness of the proposed method by analyzing the inner workings of an interaction network and comparing the performance with other previous approaches.
Keywords
Human Interaction Recognition; Network of Dynamic Probabilistic Models; Dynamic Bayesian Network; Video Surveillance;
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