The authors describe a novel neural network and edge based image processing approach for road traffic analysis. An edge detection technique to detect vehicles is used, while a back propagation neural network is used to track and count vehicles. The neural network is trained for various road traffic conditions and is able to analyse complex traffic conditions better than the heuristic approach. The results show that this approach provides better results than the traditional image processing techniques.


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    Title :

    Neural-vision based approach for real-time road traffic applications


    Additional title:

    Neural-Vision-basierter Ansatz für Echtzeit-Straßenverkehrs-Anwendungen


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

    Published in:

    Electronics Letters ; 33 , 11 ; 969-970


    Publication date :

    1997


    Size :

    2 Seiten, 2 Bilder, 6 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




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    Siyal, M.Y. / Fathy, M. / Dorry, F. | IET Digital Library Archive | 1997


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