This paper presents a new approach to recognizing multiagent events observed by a static camera. To track objects robustly, knowledge about the ground plane and the events is used. An event is considered as composed of action threads, each thread being executed by a single actor. A single thread of action is recognized from the characteristics of the trajectory and moving blob of the actor using Bayesian methods. A multi-agent event is represented by a number of action threads related by temporal constraints. Multi-agent events are recognized by propagating the constraints and likelihoods of event threads in a temporal logic network.


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    Title :

    Multi-agent event recognition


    Contributors:
    Hongeng, S. (author) / Nevatia, R. (author)


    Publication date :

    2001-01-01


    Size :

    1079146 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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