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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    Titel :

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


    Beteiligte:
    Kohler, C. (Autor:in)


    Erscheinungsdatum :

    2004-01-01


    Format / Umfang :

    326369 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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