A novel color descriptor for road-sign detection

Qieshi Zhang, Seiichiro Kamata

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

This paper presents a novel color descriptor based on the proposed Color Barycenter Hexagon (CBH) model for automatic Road- Sign (RS) detection. In the visual Driver Assistance System (DAS), RS detection is one of the most important factors. The system provides drivers with important information on driving safety. Different color combinations of RS indicate different functionalities; hence a robust color detector should be designed to address color changes in natural surroundings. The CBH model is constructed with barycenter distribution in the created color triangle, which represents RS colors in a more compact way. For detecting RS, the CBH model is used to segment color information at the initial step. Furthermore, a judgment process is applied to verify each RS candidate through the size, aspect ratio, and color ratio. Experimental results show that the proposed method is able to detect RS with robust, accurate performance and is invariant to light and scale in more complex surroundings.

Original languageEnglish
Pages (from-to)971-979
Number of pages9
JournalIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
VolumeE96-A
Issue number5
DOIs
Publication statusPublished - 2013 May

Fingerprint

Descriptors
Color
Barycentre
Hexagon
Driver Assistance
Robust Performance
Aspect Ratio
Driver
Aspect ratio
Triangle
Safety
Detector
Model
Verify
Detectors
Invariant
Experimental Results

Keywords

  • Color barycenter hexagon (CBH) model
  • Color triangle
  • Driver assistance system (DAS)
  • Road-Sign (RS) detection

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Graphics and Computer-Aided Design
  • Applied Mathematics
  • Signal Processing

Cite this

A novel color descriptor for road-sign detection. / Zhang, Qieshi; Kamata, Seiichiro.

In: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E96-A, No. 5, 05.2013, p. 971-979.

Research output: Contribution to journalArticle

@article{da9ee4a31c584b88bbd71424ccdc3f03,
title = "A novel color descriptor for road-sign detection",
abstract = "This paper presents a novel color descriptor based on the proposed Color Barycenter Hexagon (CBH) model for automatic Road- Sign (RS) detection. In the visual Driver Assistance System (DAS), RS detection is one of the most important factors. The system provides drivers with important information on driving safety. Different color combinations of RS indicate different functionalities; hence a robust color detector should be designed to address color changes in natural surroundings. The CBH model is constructed with barycenter distribution in the created color triangle, which represents RS colors in a more compact way. For detecting RS, the CBH model is used to segment color information at the initial step. Furthermore, a judgment process is applied to verify each RS candidate through the size, aspect ratio, and color ratio. Experimental results show that the proposed method is able to detect RS with robust, accurate performance and is invariant to light and scale in more complex surroundings.",
keywords = "Color barycenter hexagon (CBH) model, Color triangle, Driver assistance system (DAS), Road-Sign (RS) detection",
author = "Qieshi Zhang and Seiichiro Kamata",
year = "2013",
month = "5",
doi = "10.1587/transfun.E96.A.971",
language = "English",
volume = "E96-A",
pages = "971--979",
journal = "IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences",
issn = "0916-8508",
publisher = "Maruzen Co., Ltd/Maruzen Kabushikikaisha",
number = "5",

}

TY - JOUR

T1 - A novel color descriptor for road-sign detection

AU - Zhang, Qieshi

AU - Kamata, Seiichiro

PY - 2013/5

Y1 - 2013/5

N2 - This paper presents a novel color descriptor based on the proposed Color Barycenter Hexagon (CBH) model for automatic Road- Sign (RS) detection. In the visual Driver Assistance System (DAS), RS detection is one of the most important factors. The system provides drivers with important information on driving safety. Different color combinations of RS indicate different functionalities; hence a robust color detector should be designed to address color changes in natural surroundings. The CBH model is constructed with barycenter distribution in the created color triangle, which represents RS colors in a more compact way. For detecting RS, the CBH model is used to segment color information at the initial step. Furthermore, a judgment process is applied to verify each RS candidate through the size, aspect ratio, and color ratio. Experimental results show that the proposed method is able to detect RS with robust, accurate performance and is invariant to light and scale in more complex surroundings.

AB - This paper presents a novel color descriptor based on the proposed Color Barycenter Hexagon (CBH) model for automatic Road- Sign (RS) detection. In the visual Driver Assistance System (DAS), RS detection is one of the most important factors. The system provides drivers with important information on driving safety. Different color combinations of RS indicate different functionalities; hence a robust color detector should be designed to address color changes in natural surroundings. The CBH model is constructed with barycenter distribution in the created color triangle, which represents RS colors in a more compact way. For detecting RS, the CBH model is used to segment color information at the initial step. Furthermore, a judgment process is applied to verify each RS candidate through the size, aspect ratio, and color ratio. Experimental results show that the proposed method is able to detect RS with robust, accurate performance and is invariant to light and scale in more complex surroundings.

KW - Color barycenter hexagon (CBH) model

KW - Color triangle

KW - Driver assistance system (DAS)

KW - Road-Sign (RS) detection

UR - http://www.scopus.com/inward/record.url?scp=84878171575&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84878171575&partnerID=8YFLogxK

U2 - 10.1587/transfun.E96.A.971

DO - 10.1587/transfun.E96.A.971

M3 - Article

AN - SCOPUS:84878171575

VL - E96-A

SP - 971

EP - 979

JO - IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

JF - IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

SN - 0916-8508

IS - 5

ER -