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Automatic Acquisition of Context Models and its Application to Video Surveillance

9 years 11 months ago
Automatic Acquisition of Context Models and its Application to Video Surveillance
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.
James L. Crowley, Oliver Brdiczka, Patrick Reignie
Added 09 Nov 2009
Updated 09 Nov 2009
Type Conference
Year 2006
Where ICPR
Authors James L. Crowley, Oliver Brdiczka, Patrick Reignier, Pong Chi Yuen, Sofia Zaidenberg
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