• DocumentCode
    2207929
  • Title

    Automatically Detecting Road Sign Text from Natural Scene Video

  • Author

    Jia, Wenjing ; He, Xiangjian ; Tien, David

  • Author_Institution
    Comput. Vision Res. Group, Univ. of Technol., Sydney, NSW
  • fYear
    2006
  • fDate
    14-17 Nov. 2006
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Automatic detection of text on road signs can help drivers keep aware of the traffic situation and surrounding environments by reminding them of the signs ahead. Current systems can only detect constrained road signs or produce unsatisfying performance when dealing with complex scenes in practical use. This paper firstly reviews the existing techniques used for text detection from natural scene. A novel system which detects text on road signs from natural scene video is then proposed. Our detailed approaches and methodology give a promising solution to this problem in order to reduce the running time and improve the recognition rate
  • Keywords
    image recognition; road safety; road traffic; traffic engineering computing; video signal processing; automatically text detection; natural scene video; road sign text; road traffic; Computer vision; Image recognition; Information technology; Layout; Lighting; Road safety; Road vehicles; Shape; System testing; Text recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON 2006. 2006 IEEE Region 10 Conference
  • Conference_Location
    Hong Kong
  • Print_ISBN
    1-4244-0548-3
  • Electronic_ISBN
    1-4244-0549-1
  • Type

    conf

  • DOI
    10.1109/TENCON.2006.343914
  • Filename
    4142545