Retrieval of contextual information on korean road sign

Jong Eun Ha, Jin Bum Shim, Keun Ho Choi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Automatic extraction of contextual information on road sign can be used in various applications such as scene interpretation and autonomous navigation. This paper proposes a method for the automatic detection of contextual information on Korean road sign. It usually consists of various information such as directional symbol, the name of place according to direction, and corresponding route number. All this information is automatically detected using image processing. First, target area containing a road sign on image is found using learning based object detection algorithm. Next, grouping into Korean and English characters, direction symbol, and road's digit is done. Finally, contextual information is obtained by analyzing each group using color and geometric features.

Original languageEnglish
Title of host publication2008 International Conference on Control, Automation and Systems, ICCAS 2008
Pages1753-1756
Number of pages4
DOIs
StatePublished - 2008
Event2008 International Conference on Control, Automation and Systems, ICCAS 2008 - Seoul, Korea, Republic of
Duration: 14 Oct 200817 Oct 2008

Publication series

Name2008 International Conference on Control, Automation and Systems, ICCAS 2008

Conference

Conference2008 International Conference on Control, Automation and Systems, ICCAS 2008
Country/TerritoryKorea, Republic of
CitySeoul
Period14/10/0817/10/08

Keywords

  • Contextual information
  • Object detection
  • Road sign

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