• DocumentCode
    2797471
  • Title

    Performance evaluation of a real time traffic sign recognition system

  • Author

    Müller-Schneiders, Stefan ; Nunn, Christian ; Meuter, Mirko

  • Author_Institution
    Delphi Electron. & Safety Adv. Eng., Wuppertal
  • fYear
    2008
  • fDate
    4-6 June 2008
  • Firstpage
    79
  • Lastpage
    84
  • Abstract
    Traffic sign recognition has been a very active research topic for many years now. However, during this time of intensive research, no common evaluation methodology has been established. This paper explains in detail, how we evaluated our real time video-based traffic sign recognition system and thus may serve as a building block towards establishing a commonly accepted evaluation methodology. The proposed evaluation methods are taken from the visual surveillance research community, which was very active in evaluation techniques during the recent years.
  • Keywords
    driver information systems; object recognition; video signal processing; evaluation methodology; traffic sign recognition system; visual surveillance research community; Automatic control; Cameras; Computer vision; Image color analysis; Image segmentation; Real time systems; Shape; Surveillance; Testing; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Vehicles Symposium, 2008 IEEE
  • Conference_Location
    Eindhoven
  • ISSN
    1931-0587
  • Print_ISBN
    978-1-4244-2568-6
  • Electronic_ISBN
    1931-0587
  • Type

    conf

  • DOI
    10.1109/IVS.2008.4621164
  • Filename
    4621164