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Artificial Neural Networks and Neural Information Processing — ICANN/ICONIP 2003

Volume 2714 of the series Lecture Notes in Computer Science pp 1100-1105

Date:

Application of Vision Models to Traffic Sign Recognition

  • X.W. GaoAffiliated withSchool of Computing Science, Middlesex University, Bounds Green
  • , L. PodladchikovaAffiliated withLaboratory of Neuroinformatics of Sensory and Motor Systems, A.B. Kogan Research, Institute for Neurocybernetics, Rostov State University
  • , D. ShaposhnikovAffiliated withLaboratory of Neuroinformatics of Sensory and Motor Systems, A.B. Kogan Research, Institute for Neurocybernetics, Rostov State University

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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.