A road sign (RS) recognition system poses a real challenge for machine vision. It must recognize a wide variety of RSs under considerable variations in illumination and imaging geometry-all in real-time. Such a system is presented, with emphasis on the system architecture and specific model-based techniques used in the different processing steps. Central to this are a unique physics-based color detection approach and a novel template matching scheme for planar objects. Since the approach strongly relies on modelling for both detection and recognition, it offers the advantage of being reconfigurable by changing only a few parameters. The system is modular with respect to the sensor and the recognition data structure is simple to extend and maintain, and is easily adaptable to different regulations, e.g. North American vs European RSs. The data needed for recognition is computed automatically by modelling image formation with a few geometrical parameters. Experimental results are presented which demonstrate the performance of the system in a real task environment with high overall performance.


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    Title :

    A model-based road sign identification system


    Contributors:
    Lauziere, Y.B. (author) / Gingras, D. (author) / Ferrie, F.P. (author)


    Publication date :

    2001-01-01


    Size :

    1013914 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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