Real-time radial symmetry for speed sign detection
Date
2004
Authors
Barnes, Nick
Zelinsky, Alex
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Publisher
Institute of Electrical and Electronics Engineers (IEEE Inc)
Abstract
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.
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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; Tra
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Source
Proceedings of the IEEE Intelligent Vehicles Symposium
Type
Conference paper
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Restricted until
2037-12-31
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