• DocumentCode
    1904586
  • Title

    Hybrid color space based road sign detection technique

  • Author

    Eom, Tae-Jung ; Goswami, Kalyan ; Kim, Byung-Gyu ; Lee, Jeong

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Sun Moon Univ., Asan, South Korea
  • fYear
    2012
  • fDate
    3-5 Sept. 2012
  • Firstpage
    81
  • Lastpage
    83
  • Abstract
    An automatic road-sign detection technique for the South Korean driving environment is presented. In automatic traffic-sign maintenance and visual driver assistance systems, the road-sign detection technique is one of the most important functions. In South Korea, there are three colors for road signs (blue, green, and brown) that are generally used for traffic signs in both urban and rural areas. A hybrid color space based segmentation technique is presented for classifying these three types of road signs. Hue and normalized RGB based color spaces are used to generate a proper hybrid color space for this application.
  • Keywords
    driver information systems; image classification; image colour analysis; image segmentation; South Korean driving environment; automatic road-sign detection technique; automatic traffic-sign maintenance; blue color; brown color; green color; hue-based color spaces; hybrid color space-based segmentation technique; normalized RGB-based color spaces; road sign classification; rural areas; urban areas; visual driver assistance systems; Color; Colored noise; Green products; Image color analysis; Real-time systems; Roads; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics - Berlin (ICCE-Berlin), 2012 IEEE International Conference on
  • Conference_Location
    Berlin
  • ISSN
    2166-6814
  • Print_ISBN
    978-1-4673-1546-3
  • Type

    conf

  • DOI
    10.1109/ICCE-Berlin.2012.6336533
  • Filename
    6336533