Automatic Acquisition of Context Models and its Application to Video Surveillance

Authors:
Oliver Brdiczka;Pong C. Yuen;Sofia Zaidenberg;Patrick Reignier;James L. Crowley
Affiliations:
INRIA Rhône-Alpes, France;Hong Kong Baptist University, Hong Kong;INRIA Rhone-Alpes, France;Hong Kong Baptist University, Hong Kong;Hong Kong Baptist University, Hong Kong
Venue:
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 01
Year:
2006

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Abstract

This paper addresses the problem of automatically acquiring context models from data. Context and human behavior are represented using a state model, called situation model. This model consists of different layers referring to entities, filters, roles, relations, situation and situation relationship. We propose a framework for the automatic acquisition of these different layers. In particular, this paper proposes a novel generic situation acquisition algorithm. The algorithm is also successfully applied to a video surveillance task and is evaluated by the public CAVIAR video database. The results are encouraging.