A road sign recognition system based on dynamic visual model

Chiung-Yao Fang, C. S. Fuh, Sei-Wang Chen, P. S. Yen

Research output: Contribution to journalConference article

53 Citations (Scopus)

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.

Original languageEnglish
JournalProceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Volume1
Publication statusPublished - 2003 Sep 1
Event2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Madison, WI, United States
Duration: 2003 Jun 182003 Jun 20

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition

Cite this

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title = "A road sign recognition system based on dynamic visual model",
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.",
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JO - Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

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