This paper concerns model-based vision for road traffic scene analysis. A traffic vision system ist described. The three main modules of the system are movement detection, vehicle localization, and vehicle tracking. This paper outlines our work on the localization and discrimination module. Emphasis is on recovering 3-D proses of road vehicles in given image regions. Two classes of algorithms are described, one based on symbolic image features (line segments), and the other simply on image intensity gradients. A priori knowledge about traffic scenes and vehicles is exploited to improve the performance and efficiency of the algorithms. The algorithms are tested extensively with routine outdoor traffic images, and exmaples are included to demonstrate their principles.


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    Title :

    Locating and recognizing road vehicles


    Additional title:

    Orten und Erkennen von Straßenfahrzeugen


    Contributors:
    Tan, Tieniu (author)

    Published in:

    Optical Engineering ; 37 , 1 ; 202-207


    Publication date :

    1998


    Size :

    6 Seiten, 10 Bilder, 20 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




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