Representing and recognizing complex events in surveillance applications

Authors:
Lauro Snidaro;Massimo Belluz;Gian Luca Foresti
Affiliations:
Department of Mathematics and Computer Science, University of Udine, Italy;Department of Mathematics and Computer Science, University of Udine, Italy;Department of Mathematics and Computer Science, University of Udine, Italy
Venue:
AVSS '07 Proceedings of the 2007 IEEE Conference on Advanced Video and Signal Based Surveillance
Year:
2007

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Abstract

In this paper, we investigate the problem of representing and maintaining rule knowledge for a video surveillance application. We focus on complex events representation which cannot be straightforwardly represented by canonical means. In particular, we highlight the ongoing efforts for a unifying framework for computable rule and taxonomical knowledge representation.