Automatic Detection of Road Signs for Supporting Car Navigation Data Creation

Yu Aoki, Yoshimitsu Aoki, Emi Miyachi

Research output: Contribution to journalArticlepeer-review


A variety of car navigation systems have been developed for improving convenience of traffic navigation. Regarding construction of maps for car navigation systems, data collection of road navigation signs is necessary. However, the operation for data collection requires so many human tasks and time-consuming. In this paper, we propose a fast and accurate detection method of car navigation signs from videos. First, regions of road navigation signs candidates are extracted by using a color tracking technique robust for illumination changes. Then, the road navigation signs can be detected by applying a shape evaluation to the extracted regions. In order to support actual operations for making car navigation maps, the system automatically judges a best shot from the sequential road sign images by checking their sharpness and sizes. The performance of the system has been evaluated for demonstrating the effectiveness of the proposed method.

Original languageEnglish
Pages (from-to)456-464
Number of pages9
JournalJournal of the Institute of Image Electronics Engineers of Japan
Issue number4
Publication statusPublished - 2007 Jan
Externally publishedYes


  • Automatic Detection
  • Best Shot Judgement
  • Color Tracking
  • Road Navigation Sign
  • Shape Evaluation

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Electrical and Electronic Engineering


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