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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    Title :

    An algorithm to estimate mean traffic speed using uncalibrated cameras


    Contributors:
    Dailey, D.J. (author) / Cathey, F.W. (author) / Pumrin, S. (author)


    Publication date :

    2000


    Size :

    10 Seiten, 24 Quellen




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    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


    Use of Uncalibrated Roadside CCTV Cameras to Estimate Mean Traffic Speed

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



    Estimating 3D Body Pose Using Uncalibrated Cameras

    Rosales, R. / Siddiqui, M. / Alon, J. et al. | British Library Conference Proceedings | 2001