This work presents a cooperative approach for detecting and tracking pedestrians in an urban environment. Its originality lies in the cooperation of two vision systems. A monocular vision system retrieves feature elements and these elements are visualized. However, false detection can occur due to objects whose outline is similar to that of a pedestrian. This problem is solved by the introduction of an auto-adaptive stereovision algorithm that recovers all the vertical 3D segments of the scene. This cooperation supplies a fast and robust method for detecting pedestrian presence. Then, it allows for pedestrian tracking through multiple images.


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    Title :

    Cooperation of passive vision systems in detection and tracking of pedestrians


    Contributors:
    Lefee, D. (author) / Mousset, S. (author) / Bertozzi, M. (author) / Bensrhair, A. (author)


    Publication date :

    2004-01-01


    Size :

    782206 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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