Algorithms of video traffic image processing, presented below, have been developed by CMM and INRETS using 256x256x6 bits images collected from various scenes covering a 150 m area of a freeway under various weather conditions. First, road detection is automatically performed. The road and traffic lanes images are used to derive relationships between real and image distances and to build image transformations independant from the perspective view. Then, markers of the vehicles are extracted using geometrical adapted filters. These markers are joined to define a single marker for each vehicle. Finally, vehicles trajectories are built and traffic variables are specified.


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    Title :

    Traffic Spatial Measurements Using Video Image Processing


    Contributors:

    Conference:

    Intelligent Robots and Computer Vision VI ; 1987 ; Cambridge,CA,United States


    Published in:

    Publication date :

    1988-02-19





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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