• DocumentCode
    3291306
  • Title

    Vision-based Density Detection of Traffic Flow in Urban Intersection in the Daytime

  • Author

    Shi, Shengli ; Xu, Jianmin ; Qin, Zhong

  • Author_Institution
    Sch. of Traffic & Commun., South China Univ. of Technol., Guangzhou
  • fYear
    2006
  • fDate
    38869
  • Firstpage
    187
  • Lastpage
    189
  • Abstract
    In urban intersection of intelligent control system, detection of rows of vehicles is essential to the control algorithm, and density estimation method and vision-based detection algorithm are presented in this paper for sake of the limitation of using loop detectors method. Firstly, background segmentation and rebuilding is introduced and algorithm for vehicles segmentation in HSV color space is discussed. Then length and density of traffic flow are calculated. Finally, experimental results and analysis are included
  • Keywords
    image recognition; intelligent control; road traffic; road vehicles; traffic control; HSV color space; intelligent control system; traffic flow; vehicles segmentation; vision-based density detection; Cameras; Change detection algorithms; Communication system traffic control; Control systems; Detectors; Image edge detection; Intelligent control; Road vehicles; Traffic control; Vehicle detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    ITS Telecommunications Proceedings, 2006 6th International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    0-7803-9587-5
  • Electronic_ISBN
    0-7803-9587-5
  • Type

    conf

  • DOI
    10.1109/ITST.2006.288830
  • Filename
    4068561