A road sign recognition system based on dynamic visual model

Authors:
C. Y. Fang;C. S. Fuh;S. W. Chen;P. S. Yen
Affiliations:
Department of Information and Computer Education, National Taiwan Normal University, Taipei, Taiwan, R. O. C.;Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan, R. O. C.;Department of Computer Science and Information Engineering, National Taiwan Normal University, Taipei, Taiwan, R. O. C.;Department of Information and Computer Education, National Taiwan Normal University, Taipei, Taiwan, R. O. C.
Venue:
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Year:
2003

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Abstract

We propose a computational model motivated by human cognitive processes for detecting changes of driving environments. The model, call dynamic visual model, consists of three major components: sensory, perceptual, and conceptual components. The proposed model is used as the underlying framework in which a system for detecting and recognizing road signs is developed.