2003 IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS'03)
Automatic Learning of an Activity-Based Semantic Scene Model
Miami, Florida
July 21-July 22
ISBN: 0-7695-1971-7
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.
Citation:
Dimitrios Makris, Tim Ellis, "Automatic Learning of an Activity-Based Semantic Scene Model," avss, pp.183, 2003 IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS'03), 2003