This paper presents an automatic vehicle classification and tracking method to estimate the traffic parameters of vehicle movements at signalized intersections. Different from traditional methods, this classification and tracking system is based on a projective transformation of video frames. The proposed method has a good ability to classify detected vehicles and calculate parameters of vehicle movements at intersection area. Experimental results show the proposed method is more accurate and powerful than feature-based detection algorithm to tackle the problem of changing shape and size of vehicles due to turning movements. Based on tracking results, vehicle movements, including turning paths and speed profile are analyzed. The proposed method is a valuable tool for building path and speed control strategy of intelligent vehicles.


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    Title :

    Automatic vehicle classification and tracking method for vehicle movements at signalized intersections


    Contributors:
    Chai, C. (author) / Wong, Y. D. (author)


    Publication date :

    2013-06-01


    Size :

    978693 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    AUTOMATIC VEHICLE CLASSIFICATION AND TRACKING METHOD FOR VEHICLE MOVEMENTS AT SIGNALIZED INTERSECTIONS

    Chai, C. / Wong, Y. / Institute of Electrical and Electronics Engineers | British Library Conference Proceedings | 2013


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    Virkler, M. R. / Narla Raj Kumar | British Library Online Contents | 1998


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    Inoue, T. / Hotta, M. / Yokota, T. et al. | British Library Conference Proceedings | 1999