We describe a novel architecture for developing distributed video networks for incident detection and management. The networks utilize both rectilinear and omnidirectional cameras. It is recognized that robust and reliable segmentation of automobiles and shadows is critical in our application. We describe new segmentation procedure and present experimental results to support the basic feasibility and utility of the algorithms.


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    Title :

    Distributed video networks for incident detection and management


    Contributors:
    Trivedi, M.M. (author) / Mikic, I. (author) / Kogut, G. (author)


    Publication date :

    2000-01-01


    Size :

    552497 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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