• DocumentCode
    1645918
  • Title

    Image analysis of crosswalk

  • Author

    Shioyama, Tadayoshi ; Wu, Haiyuan ; Nishibe, Yuna ; Nakamura, Naoki ; Kitawaki, Suguru

  • Author_Institution
    Dept. of Mech. & Syst. Eng., Kyoto Inst. of Technol., Japan
  • fYear
    2001
  • Firstpage
    168
  • Lastpage
    173
  • Abstract
    This paper proposes a method for image analysis of a crosswalk and a traffic light. The method provides information not only about the length of a crosswalk, but also about the colour of the traffic light. The length of a crosswalk is estimated by projective geometry using white lines painted on the road at a crosswalk. Furthermore, the state of the traffic light, that is, the colour of green (walk signal) or red (stop signal), is detected by searching the green (or red) traffic light using affine moment invariants. In order to evaluate the performance, experimental results estimating the length and detecting the traffic light are presented
  • Keywords
    computational geometry; edge detection; image colour analysis; traffic engineering computing; affine moment invariants; crosswalk estimation; edge detection; image analysis; performance; projective geometry; traffic light colour; white lines; Bicycles; Cameras; Image analysis; Image color analysis; Image edge detection; Intelligent robots; Intelligent sensors; Roads; Signal detection; Time of arrival estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Analysis and Processing, 2001. Proceedings. 11th International Conference on
  • Conference_Location
    Palermo
  • Print_ISBN
    0-7695-1183-X
  • Type

    conf

  • DOI
    10.1109/ICIAP.2001.957003
  • Filename
    957003