Abstract
A system for traffic sign recognition has been developed. Both colour and shape information from signs are utilised for extraction of features. Colour appearance model CIECAM97 has been applied to extract colour information and to segment and classify traffic signs. Whilst shape features are extracted using FOSTS model, the extension of Behaviour Model of Visions (BMV). Recoganition rate is very high. For British traffic signs (n=98) obtained under various viewing conditions, the recognition rate is up to 0.95.
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Gao, X., Podladchikova, L., Shaposhnikov, D. (2003). Application of Vision Models to Traffic Sign Recognition. In: Kaynak, O., Alpaydin, E., Oja, E., Xu, L. (eds) Artificial Neural Networks and Neural Information Processing — ICANN/ICONIP 2003. ICANN ICONIP 2003 2003. Lecture Notes in Computer Science, vol 2714. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44989-2_131
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DOI: https://doi.org/10.1007/3-540-44989-2_131
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