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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    Titel :

    Vehicle and pedestrian detection and tracking


    Weitere Titelangaben:

    Optische Erkennung und Verfolgung von Fahrzeugen und Fußgängern


    Beteiligte:
    Ali, A.T. (Autor:in) / Dagless, E.L. (Autor:in)


    Erscheinungsdatum :

    1990


    Format / Umfang :

    , 12 Quellen


    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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