• DocumentCode
    2049022
  • Title

    A Sequential Frame Method for Traffic Sign Detection

  • Author

    Zhi-Bang, Yang ; Cheng, Xu ; Shi-Ying, Li ; Xu, Zhou

  • Author_Institution
    Sch. of Comput. & Commun., Hunan Univ., Changsha, China
  • Volume
    1
  • fYear
    2010
  • fDate
    14-15 Aug. 2010
  • Firstpage
    137
  • Lastpage
    140
  • Abstract
    Based on the sequential video frame, a method to detect the traffic sign was proposed. The color image was mapped from RGB to improved HSI color space first, and then converted it to binary image according the color of signs. The shape features were used to remove some noise, and the improved Hough transform was used to locate the areas of traffic signs. Compared to the existed detection algorithm, a previous frame was used as a priori information to reduce the treatment region, then to decrease the computation. In order to prevent the undetected region, a full inspection was processed when the number of consecutive frames which detected the traffic signs was more than the threshold. The results show that the method in this paper performs better than the traditional method.
  • Keywords
    Hough transforms; image colour analysis; image recognition; image sequences; traffic engineering computing; video signal processing; HSI color space; Hough transform; RGB; binary image; color image; sequential frame method; sequential video frame; sign color; traffic sign detection; Feature extraction; Image color analysis; Pixel; Real time systems; Roads; Shape; Transforms; color information; sequential video frame; shape characteristics; traffic sign detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Engineering (ICIE), 2010 WASE International Conference on
  • Conference_Location
    Beidaihe, Hebei
  • Print_ISBN
    978-1-4244-7506-3
  • Electronic_ISBN
    978-1-4244-7507-0
  • Type

    conf

  • DOI
    10.1109/ICIE.2010.40
  • Filename
    5570863