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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    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 :

    2000-06-01


    Size :

    445960 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    An algorithm to estimate mean traffic speed using uncalibrated cameras

    Dailey, D.J. / Cathey, F.W. / Pumrin, S. | Tema Archive | 2000


    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