We present a fully integrated real-time system to track humans with a network of stereo sensors over a wide area. The processing includes single camera tracking and multi-camera fusion. Each single camera detects and tracks humans in its own view and a multi-camera fusion module combines all the local tracks of the same human into a global track. We propose stereo segmentation and tracking techniques to handle multiple humans moving in groups in cluttered environments. We have developed a ground-based fusion method for camera handoff using space-time constraint. We show results and performance evaluation on very challenging data from a 12-camera system.


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    Title :

    Real-time wide area multi-camera stereo tracking


    Contributors:
    Tao Zhao, (author) / Aggarwal, M. (author) / Kumar, R. (author) / Sawhney, H. (author)


    Publication date :

    2005-01-01


    Size :

    651696 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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