This paper presents a distributed multi-camera visual surveillance system for automatic scene interpretation of airport aprons. The system comprises two main modules Scene Tracking and Scene Understanding. The Scene Tracking module is responsible for detecting, tracking and classifying the objects on the apron. The Scene Understanding module performs high level interpretation of the apron activities by applying cognitive spatio-temporal reasoning. The performance of the complete system is demonstrated for a range of representative test scenarios.


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    Title :

    A Real-Time Scene Understanding System for Airport Apron Monitoring


    Contributors:
    Thirde, D. (author) / Borg, M. (author) / Ferryman, J. (author) / Fusier, F. (author) / Valentin, V. (author) / Bremond, F. (author) / Thonnat, M. (author)


    Publication date :

    2006-01-01


    Size :

    121803 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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