Skip to Main content Skip to Navigation
Conference papers

Automatic Acquisition of Context Models and its Application to Video Surveillance

Oliver Brdiczka 1 Pong Chi Yuen Sofia Zaidenberg 1 Patrick Reignier 1 James L. Crowley 1
1 PRIMA - Perception, recognition and integration for observation of activity
Inria Grenoble - Rhône-Alpes, UJF - Université Joseph Fourier - Grenoble 1, INPG - Institut National Polytechnique de Grenoble , CNRS - Centre National de la Recherche Scientifique : UMR5217
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
Document type :
Conference papers
Complete list of metadata
Contributor : Sofia Zaidenberg Connect in order to contact the contributor
Submitted on : Wednesday, February 13, 2013 - 4:44:17 PM
Last modification on : Tuesday, February 9, 2021 - 3:24:36 PM




Oliver Brdiczka, Pong Chi Yuen, Sofia Zaidenberg, Patrick Reignier, James L. Crowley. Automatic Acquisition of Context Models and its Application to Video Surveillance. 18th International Conference on Pattern Recognition, ICPR 2006., Yuan Yan Tang and Patrick Wang and G. Lorette and Daniel So Yeung, Aug 2006, Hong Kong, Hong Kong SAR China. pp.1175-1178, ⟨10.1109/ICPR.2006.292⟩. ⟨hal-00788082⟩



Les métriques sont temporairement indisponibles