We present a novel approach to estimate traffic speed using a sequence of images from an uncalibrated camera. We assert that exact calibration is not necessary to estimate speed. Instead, we use: 1) geometric relationships inherently available in the image, 2) some common-sense assumptions that reduce the problem to a one-dimensional geometry, 3) frame differencing to isolate moving edges and track vehicles between frames, and 4) parameters from the distribution of vehicle lengths to estimate speed.


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    Titel :

    An algorithm to estimate mean traffic speed using uncalibrated cameras


    Beteiligte:
    Dailey, D.J. (Autor:in) / Cathey, F.W. (Autor:in) / Pumrin, S. (Autor:in)


    Erscheinungsdatum :

    01.06.2000


    Format / Umfang :

    445960 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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    An Algorithm to Estimate Mean Traffic Speed Using Uncalibrated Cameras

    Dailey, D. J. / Cathey, F. W. / Pumrin, S. | British Library Online Contents | 2000



    Algorithm for Estimating Mean Traffic Speed with Uncalibrated Cameras

    Dailey, Daniel J. / Li, Li | Transportation Research Record | 2000


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    D. J. Dailey / F. W. Cathey / S. Pumrin | NTIS | 2001