Traffic light detection with color and edge information

Masako Omachi, Shinichiro Omachi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

100 Citations (Scopus)

Abstract

The concern of the intelligent transportation system rises and many driver support systems have been developed. In this paper, a fast method of detecting a traffic light in a scene image is proposed. By converting the color space from RGB to normalized RGB, some regions are selected as candidates of a traffic light. Then a method based on the Hough transform is applied to detect an exact region. Experimental results using images including a traffic light verifies the effectiveness of the proposed method.

Original languageEnglish
Title of host publicationProceedings - 2009 2nd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2009
Pages284-287
Number of pages4
DOIs
Publication statusPublished - 2009 Nov 12
Event2009 2nd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2009 - Beijing, China
Duration: 2009 Aug 82009 Aug 11

Publication series

NameProceedings - 2009 2nd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2009

Other

Other2009 2nd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2009
CountryChina
CityBeijing
Period09/8/809/8/11

Keywords

  • Driver support system
  • Hough transform
  • Image recognition
  • Intelligent transportation system
  • Traffic light

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems
  • Software

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