• DocumentCode
    3406025
  • Title

    Traffic light detection during day and night conditions by a camera

  • Author

    Yu, Chunhe ; Huang, Chuan ; Lang, Yao

  • Author_Institution
    Dept. of Electron. & Inf. Eng., Shenyang Aerosp. Univ., Shenyang, China
  • fYear
    2010
  • fDate
    24-28 Oct. 2010
  • Firstpage
    821
  • Lastpage
    824
  • Abstract
    In order to reduce accident at traffic intersections during day and night, the algorithm of traffic lights detection which is applied in a vehicle driver assistance system is designed by using the image processing technology. The system of traffic light detection includes three parts: a CCD camera, an image acquisition card, and a PC. Based on RGB color space, the algorithm extracts red, green, and yellow objects in the image firstly; For the purpose of eliminating disturbance in the environment, the features of traffic lights are used to verify the object identity, and then the types of traffic signals are judged. The results of experiments show that the algorithm is stable and reliable.
  • Keywords
    CCD image sensors; driver information systems; feature extraction; image colour analysis; object detection; road accidents; road safety; road vehicles; video signal processing; CCD camera; PC; RGB color space; feature extraction; image acquisition card; image processing; object identity verification; road accident; traffic intersection; traffic light detection; traffic signal; vehicle driver assistance system; Cameras; Driver circuits; Feature extraction; Image color analysis; Pixel; Roads; Vehicles; image recognition; traffic intersection; traffic lights detection; vehicle driver assistance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing (ICSP), 2010 IEEE 10th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-5897-4
  • Type

    conf

  • DOI
    10.1109/ICOSP.2010.5655934
  • Filename
    5655934