This paper describes a method for the real-time measurement of vehicle queue parameters in a video-based traffic monitoring experimental system. The method proposed here is based on vehicle presence detection and movement analysis in video sequences acquired by a stationary camera. Queues are detected and characterized by a severity index. Intensive experiments show the robustness of the method under varying illumination and weather conditions. The system is presently undergoing an on-field testing phase in a double ways road near Trento, Italy, where queues frequently occur.


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    Titel :

    An efficient vehicle queue detection system based on image processing


    Beteiligte:
    Zanin, M. (Autor:in) / Messelodi, S. (Autor:in) / Modena, C.M. (Autor:in)


    Erscheinungsdatum :

    01.01.2003


    Format / Umfang :

    296993 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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