Video-surveillance and traffic analysis systems can be heavily improved using vision-based techniques able to extract, manage and track objects in the scene. However, problems arise due to shadows. In particular, moving shadows can affect the correct localization, measurements and detection of moving objects. This work aims to present a technique for shadow detection and suppression used in a system for moving visual object detection and tracking. The major novelty of the shadow detection technique is the analysis carried out in the HSV color space to improve the accuracy in detecting shadows. Signal processing and optic motivations of the approach proposed are described. The integration and exploitation of the shadow detection module into the system are outlined and experimental results are shown and evaluated.


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    Title :

    Improving shadow suppression in moving object detection with HSV color information


    Contributors:
    Cucchiara, R. (author) / Grana, C. (author) / Piccardi, M. (author) / Prati, A. (author) / Sirotti, S. (author)


    Publication date :

    2001-01-01


    Size :

    873682 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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