A fully automatic vision-based technique to extract traffic data from scenes of roadway is proposed. This involves the application of a scene analysis technique to find, identify and determine the coordinates of moving vehicles and pedestrians in each frame. The coordinates/time data are translated into a number of traffic flow parameters. A number of detection and tracking algorithms are implemented in the OCCAM language to run on a transputer-image processing system. The application of the MAT-transform as an aid for vehicle classification is investigated. The initial results are discussed.


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    Title :

    Vehicle and pedestrian detection and tracking


    Additional title:

    Optische Erkennung und Verfolgung von Fahrzeugen und Fußgängern


    Contributors:
    Ali, A.T. (author) / Dagless, E.L. (author)


    Publication date :

    1990


    Size :

    , 12 Quellen


    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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