• DocumentCode
    257016
  • Title

    Traffic sign recognition by distorted template matching

  • Author

    Takada, R. ; Katto, J.

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Waseda Univ., Tokyo, Japan
  • fYear
    2014
  • fDate
    7-10 Oct. 2014
  • Firstpage
    416
  • Lastpage
    418
  • Abstract
    Traffic sign recognition contributes to the safety of drivers and people around the car. The system analyzes the road ahead images taken by on-vehicle camera, but blurred and distorted images make it difficult to recognize correct traffic sign. In this paper, we propose a method that deforms from ellipses to perfect circles and applies template matching with distorted sign templates.
  • Keywords
    image matching; transforms; SIFT features; distorted sign templates; distorted template matching; on-vehicle camera; traffic sign recognition; Accuracy; Cameras; Feature extraction; Image color analysis; Image recognition; Roads; Vehicles; SIFT features; template matching; traffic sign recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics (GCCE), 2014 IEEE 3rd Global Conference on
  • Conference_Location
    Tokyo
  • Type

    conf

  • DOI
    10.1109/GCCE.2014.7031263
  • Filename
    7031263
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=257016