Probabilistic Recognition of Complex Event

Abstract : Abstract. This paper describes a complex event recognition approach with probabilistic reasoning for handling uncertainty. The first advantage of the proposed approach is the flexibility of the modeling of composite events with complex temporal constraints. The second advantage is the use of probability theory providing a consistent framework for dealing with uncertain knowledge for the recognition of complex events. The experimental results show that our system can successfully improve the event recognition rate. We conclude by comparing our algorithm with the state of the art and showing how the definition of event models and the probabilistic reasoning can influence the results of the real-time event recognition.
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Communication dans un congrès
ICVS 2011, Sep 2011, sophia antipolis, France. 2011
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https://hal.inria.fr/inria-00616742
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Rim Romdhane, Francois Bremond, Bernard Boulay, Monique Thonnat. Probabilistic Recognition of Complex Event. ICVS 2011, Sep 2011, sophia antipolis, France. 2011. 〈inria-00616742〉

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