A road sign recognition system based on dynamic visual model

C. Y. Fang; C. S. Fuh; S. W. Chen; P. S. Yen

A road sign recognition system based on dynamic visual model

C. Y. Fang^*, C. S. Fuh, S. W. Chen, P. S. Yen

^*Corresponding author for this work

Department of Computer Science and Information Engineering

Research output: Contribution to journal › Conference article › peer-review

59 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 language	English
Pages (from-to)	I/750-I/755
Journal	Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Volume	1
Publication status	Published - 2003
Event	2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Madison, WI, United States Duration: 2003 Jun 18 → 2003 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.",

author = "Fang, {C. Y.} and Fuh, {C. S.} and Chen, {S. W.} and Yen, {P. S.}",

year = "2003",

language = "English",

volume = "1",

pages = "I/750--I/755",

journal = "Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition",

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note = "2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition ; Conference date: 18-06-2003 Through 20-06-2003",

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AU - Fang, C. Y.

AU - Fuh, C. S.

AU - Chen, S. W.

AU - Yen, P. S.

PY - 2003

Y1 - 2003

N2 - 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.

AB - 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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M3 - Conference article

AN - SCOPUS:17644438661

SN - 1063-6919

VL - 1

SP - I/750-I/755

JO - Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

JF - Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

T2 - 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Y2 - 18 June 2003 through 20 June 2003

ER -

A road sign recognition system based on dynamic visual model

Abstract

ASJC Scopus subject areas

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