The real-time measurement of various traffic parameters including queue parameters is required in many traffic situations such as accident and congestion monitoring and adjusting the timings of the traffic lights. In case of the queue detection, at least two algorithms have been proposed by previous researchers. Those algorithms are used for queue detection and are unable to measure queue parameters. A method based on applying the combination of noise insensitive and simple algorithms on a number of sub-profiles (a one-pixel-wide key-region) along the road is proposed. This queue detection algorithm consists of motion detection and vehicle detection operations, both based on extracting edges of the scene, to reduce the effects of variation of lighting conditions. To reduce the computation time, the motion detection operation continously operates on all the sub-profiles, but the vehicle detection is only applied to the tail of the queue. The proposed algorithms have been implemented on an 80386-based microcomputer system and the whole system works in real-time.


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    Title :

    Real-time image processing approach to measure traffic queue parameters


    Additional title:

    Echtzeit-Bildverarbeitung zur Messung von Straßenverkehrsparametern


    Contributors:
    Fathy, M. (author) / Siyal, M.Y. (author)


    Publication date :

    1995


    Size :

    7 Seiten, 21 Bilder, 9 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




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