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Pattern matching approach towards real-time traffic sign recognition
Dalarna University, School of Technology and Business Studies, Computer Engineering.ORCID iD: 0000-0002-1429-2345
Dalarna University, School of Technology and Business Studies, Computer Engineering.ORCID iD: 0000-0002-2752-3712
2010 (English)Conference paper, Published paper (Refereed)
Abstract [en]

This paper addresses the problem of traffic sign recognition in real-time conditions. The algorithm presented in this paper is based on detecting traffic signs in life images and videos using pattern matching of the unknown sign’s shape with standard shapes of the traffic signs. The pattern matching algorithm works with shape vertices rather than the whole image. This reduces the computation time which is a crucial factor to fit real-time demands. The algorithm is translation and scaling invariant. It shows high robustness as it is tested with 500 images and several videos and a recognition rate of 97% is achieved.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2010. 57-60 p.
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Komplexa system - mikrodataanalys
Identifiers
URN: urn:nbn:se:du-4683DOI: 10.1109/MCIT.2010.5444852OAI: oai:dalea.du.se:4683DiVA: diva2:522118
Conference
International Conference on Multimedia Computing and Information Technology (MCIT-2010) , Sharja, UAE, March 2-4, 2010
Available from: 2010-05-06 Created: 2010-05-06 Last updated: 2016-02-12Bibliographically approved

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • chicago-author-date
  • chicago-note-bibliography
  • Other style
More styles
Language
  • de-DE
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  • nn-NB
  • sv-SE
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Output format
  • html
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  • asciidoc
  • rtf