This paper presents a spatio-temporal query language useful for video interpretation and event recognition. The language is suited to describe configurations of objects moving on a plane. To demonstrate its applicability it has been tested on the output of a tracker working on a car traffic scene. The results of two example sets of queries are shown in two videos generated from the trackers data output. The first selects a ghost from the tracking data and the second shows how to find queues of cars in the road traffic scene without prior knowledge of lanes.


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    Title :

    Selecting ghosts and queues from a car trackers output using a spatio-temporal query language


    Contributors:
    Kohler, C. (author)


    Publication date :

    2004-01-01


    Size :

    326369 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Selecting Ghosts and Queues from a Car Trackers Output Using a Spatio-Temporal Query Language

    Kohler, C. / IEEE Computer Society | British Library Conference Proceedings | 2004


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