Barnes, NickZelinsky, Alex2015-12-13June 14 200780383109http://hdl.handle.net/1885/80433Algorithms 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.Keywords: Cameras; Charge coupled devices; Edge detection; Illuminating engineering; Image processing; Intelligent vehicle highway systems; Real time systems; Roads and streets; Simulated annealing; Color segmentation; Road signs; Sign recognition; Speed signs; Tra20042015-12-11