• DocumentCode
    1892180
  • Title

    LED traffic sign detection with the fast radial symmetric transform and symmetric shape detection

  • Author

    WooYeol Jun ; JeongMok Ha ; Byeongchan Jeon ; JoonHo Lee ; Hong Jeong

  • Author_Institution
    Dept. of Electr. Eng., Pohang Univ. of Sci. & Technol., Pohang, South Korea
  • fYear
    2015
  • fDate
    June 28 2015-July 1 2015
  • Firstpage
    310
  • Lastpage
    315
  • Abstract
    We present a method that can detect a circular traffic signs and Light Emitting Diode (LED) traffic signs by combining fast radial symmetric transform and a proposed symmetric shape detection method. The proposed method can choose the appropriate size and sign type by computing the confidence of given image to each pre-defined signs, In a real road video that includes LED signs and circular traffic signs, our algorithm scored 94.3 % detection ratio and 0.33 false positive per frame; these results are acceptable in advanced driver assistance systems.
  • Keywords
    driver information systems; light emitting diodes; object detection; road traffic; shape recognition; video signal processing; LED traffic sign detection; advanced driver assistance systems; circular traffic signs; fast radial symmetric transform; light emitting diode; real road video; symmetric shape detection; Image edge detection; Light emitting diodes; Manganese; Roads; Shape; Tin; Transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Vehicles Symposium (IV), 2015 IEEE
  • Conference_Location
    Seoul
  • Type

    conf

  • DOI
    10.1109/IVS.2015.7225704
  • Filename
    7225704