Algorithms for classifying road signs have a high computational cost per pixel processed. A promising approach to real-time sign detection is to reduce the number of pixels to be classified as being a particular sign to a minimum by some form of sign detection on the image using less time expensive algorithms. In this paper, we adapt the fast radial symmetry detector to the image stream from a camera mounted in a car eliminate almost all non-sign pixels from the image stream. We then are able to apply normalised cross-correlation to classify the signs. This method is suitable for circular signs only; we apply it to Australian speed signs in this paper. Our results show that it is robust to a broad range of lighting conditions. Also, as the method is fast, there is no need to make unrealistic-ally strict assumptions about image structure.


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    Title :

    Real-time radial symmetry for speed sign detection


    Contributors:
    Barnes, N. (author) / Zelinsky, A. (author)


    Publication date :

    2004-01-01


    Size :

    827598 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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