Presented is a new algorithm for estimating speed by using a sequence of video images from an uncalibrated camera. An assertion is made that exact calibration is not necessary for estimating speed. Instead, the following are used to propose a novel method that extracts scale information and estimates speed: ( a) geometric relationships inherently available in the image; ( b) some common sense assumptions that reduce the problem to a one-dimensional geometry; ( c) frame differencing to isolate moving edges and to track vehicles between frames; and ( d) the distribution of vehicle lengths.


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    Title :

    Algorithm for Estimating Mean Traffic Speed with Uncalibrated Cameras


    Additional title:

    Transportation Research Record


    Contributors:
    Dailey, Daniel J. (author) / Li, Li (author)


    Publication date :

    2000-01-01




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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