• DocumentCode
    161876
  • Title

    Red traffic light detection using fast radial symmetry transform

  • Author

    Sooksatra, Sorn ; Kondo, Toshiaki

  • Author_Institution
    Sch. of Inf. & Commun. Technol., Thammasat Univ., Pathumthani, Thailand
  • fYear
    2014
  • fDate
    14-17 May 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Traffic light is one of the important signs for drivers that help managing the car flow and reducing accident on the road. As of today technology, there exists a traffic light detection system that warns the driver to reduce the accident significantly. In this paper, we are concerned with only the red and yellow traffic light to reduce false positive and time consumption. The fast radial symmetry transform is a fast variation of the circular Hough transform. The CIELab color model is used because it is less dependent on lighting conditions. The precision and the recall of the proposed method are increased from previous work.
  • Keywords
    Hough transforms; image colour analysis; lighting; object detection; road accidents; road safety; road traffic; traffic engineering computing; CIELab color model; accident reduction; car flow; circular Hough transform; false positive; fast radial symmetry transform; lighting conditions; red traffic light detection; time consumption; traffic light detection system; Accidents; Image color analysis; Intelligent vehicles; Lighting; Shape; Transforms; Vehicles; Computer Vision; Fast Radial Symmetry; Traffic light detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), 2014 11th International Conference on
  • Conference_Location
    Nakhon Ratchasima
  • Type

    conf

  • DOI
    10.1109/ECTICon.2014.6839767
  • Filename
    6839767