The recognition of shadows is an important object of research in the field of image processing. First of all in video-based traffic-state analysis, shadows cause significant disturbances. Today, shadow modelling and detection has been rather extensively examined, but there is a lack of systematisation and evaluation of basic concepts. Therefore, this paper contains a short introduction of the basic concepts and the use of these concepts in reliable methods. To get a comparative study, every method is applied to the same example images. The study points out the need for further investigation of basic technologies and applications.


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    Title :

    A comparative study of shadow models for video-based traffic-state analysis


    Contributors:


    Publication date :

    2013


    Size :

    9 Seiten, Bilder, Tabellen, 13 Quellen



    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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