Automatic Learning of an Activity-Based Semantic Scene Model

Dimitrios Makris; Tim Ellis

doi:10.1109/AVSS.2003.1217920

Proceedings of the IEEE Conference on Advanced Video and Signal Based Surveillance, 2003.

Automatic Learning of an Activity-Based Semantic Scene Model

Year: 2003, Pages: 183

DOI Bookmark: 10.1109/AVSS.2003.1217920

Authors

Dimitrios Makris, City University, London
Tim Ellis, City University, London

Abstract

This paper proposes an activity-based semantic model for a scene under visual surveillance. It illustrates methods that allow unsupervised learning of the model, from trajectory data derived from automatic visual surveillance cameras. Results are shown for each method. Finally, the benefits of such a model in a visual surveillance system are discussed.

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Automatic Learning of an Activity-Based Semantic Scene Model

Authors

Abstract

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