Automatic road sign detection method based on Color Barycenters Hexagon model

Qieshi Zhang; Sei Ichiro Kamata

doi:10.1109/icpr.2008.4761420

Automatic road sign detection method based on Color Barycenters Hexagon model

Qieshi Zhang^*, Sei Ichiro Kamata

^*Corresponding author for this work

Graduate School of Information, Production and Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

12 Citations (Scopus)

Abstract

Road sign detection is one of the major concerned topics in the field of driving safety and intelligent vehicle. In this paper, a novel model based on Color Barycenters Hexagon (CBH) is proposed and used to detect road sign usefully. In CBH model, full color images are calculated the color barycenters and get the barycenters region, then automatic select the idea threshold curves to separate the Region of Interest (ROI) of barycenters aiming to detect the road sign. Because of the practically images have many noise, and the existing color space cannot separate the ROI ideally. The proposed CBH model can thresholding the principal color of ROI and have high robust. With suitably thresholding and operations, road sign on various scene images can be detected.

Original language	English
Title of host publication	2008 19th International Conference on Pattern Recognition, ICPR 2008
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Print)	9781424421756
DOIs	https://doi.org/10.1109/icpr.2008.4761420
Publication status	Published - 2008 Jan 1

Publication series

Name	Proceedings - International Conference on Pattern Recognition
ISSN (Print)	1051-4651

ASJC Scopus subject areas

Computer Vision and Pattern Recognition

Access to Document

10.1109/icpr.2008.4761420

Cite this

Automatic road sign detection method based on Color Barycenters Hexagon model. / Zhang, Qieshi; Kamata, Sei Ichiro.

2008 19th International Conference on Pattern Recognition, ICPR 2008. Institute of Electrical and Electronics Engineers Inc., 2008. 4761420 (Proceedings - International Conference on Pattern Recognition).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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abstract = "Road sign detection is one of the major concerned topics in the field of driving safety and intelligent vehicle. In this paper, a novel model based on Color Barycenters Hexagon (CBH) is proposed and used to detect road sign usefully. In CBH model, full color images are calculated the color barycenters and get the barycenters region, then automatic select the idea threshold curves to separate the Region of Interest (ROI) of barycenters aiming to detect the road sign. Because of the practically images have many noise, and the existing color space cannot separate the ROI ideally. The proposed CBH model can thresholding the principal color of ROI and have high robust. With suitably thresholding and operations, road sign on various scene images can be detected.",

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Automatic road sign detection method based on Color Barycenters Hexagon model

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