We present an overview of image processing and analysis tools used in these applications and we relate these tools with complete systems developed for specific traffic applications. More specifically, we categorize processing methods based on the intrinsic organization of their input data (feature-driven, area-driven, or model-based) and the domain of processing (spatial/frame or temporal/video). Furthermore, we discriminate between the cases of static and mobile camera. Based on this categorization of processing tools, we present representative systems that have been deployed for operation. Thus, the purpose of the paper is threefold. First, to classify image-processing methods used in traffic applications. Second, to provide the advantages and disadvantages of these algorithms. Third, from this integrated consideration, to attempt an evaluation of shortcomings and general needs in this field of active research.


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    Titel :

    A survey of video processing techniques for traffic applications


    Beteiligte:
    Kastrinaki, V. (Autor:in) / Zervakis, M. (Autor:in) / Kalaitzakis, K. (Autor:in)

    Erschienen in:

    Image and Vision Computing ; 21 , 4 ; 359-381


    Erscheinungsdatum :

    2003


    Format / Umfang :

    23 Seiten, 128 Quellen




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Print


    Sprache :

    Englisch




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