Real-time radial symmetry for speed sign detection

Nick Barnes*, Alex Zelinsky

*Corresponding author for this work

    Research output: Contribution to conferencePaperpeer-review

    145 Citations (Scopus)


    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 unrealistically strict assumptions about image structure.

    Original languageEnglish
    Number of pages6
    Publication statusPublished - 2004
    Event2004 IEEE Intelligent Vehicles Symposium - Parma, Italy
    Duration: 14 Jun 200417 Jun 2004


    Conference2004 IEEE Intelligent Vehicles Symposium


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