Generating vehicle trajectories from video data is an important application of ITS (intelligent transportation systems). We introduce a new tracking approach which uses model-based 3-D vehicle detection and description algorithm. Our vehicle detection and description algorithm is based on a probabilistic line feature grouping, and it is faster (by up to an order of magnitude) and more flexible than previous image-based algorithms. We present the system implementation and the vehicle detection and tracking results.


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    Title :

    Fast vehicle detection with probabilistic feature grouping and its application to vehicle tracking


    Contributors:
    Kim, (author) / Malik, (author)


    Publication date :

    2003-01-01


    Size :

    759682 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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