• DocumentCode
    668705
  • Title

    A novel image segmentation technology in intelligent traffic light control systems

  • Author

    Liu Junwei ; Luo Shaokai

  • Author_Institution
    Sch. of Math. & Stat., Xi´an Electron. & Sci. Univ., Xi´an, China
  • fYear
    2013
  • fDate
    20-22 Nov. 2013
  • Firstpage
    26
  • Lastpage
    29
  • Abstract
    This paper analyzes the present application of intelligent traffic light control systems and points out the advantages of controlling traffic lights according to the traffic information collected using video cameras. A novel method that recognizes the detection area based on Hough transformation, and computes the number of vehicles based on the detected boundaries between the windshields and the hoods is proposed. Furthermore, the time complexity of the image erosion algorithm involved is improved. Experiments indicate that the proposed procedure can achieve fast and high-precision recognition for crowded vehicles thus is efficient in practice.
  • Keywords
    Hough transforms; computational complexity; image recognition; image segmentation; intelligent control; intelligent transportation systems; road traffic control; traffic engineering computing; Hough transformation; ITS; Intelligent Transportation System; high-precision recognition; image erosion algorithm; image segmentation technology; intelligent traffic light control systems; time complexity; traffic information; video cameras; Accuracy; Artificial intelligence; Automotive components; Cameras; Corrosion; Roads; Vehicles; Digital Image Processing; Image erosion; Intelligent Traffic; Vehicles Recognition; Video monitor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics, Communications and Networks (CECNet), 2013 3rd International Conference on
  • Conference_Location
    Xianning
  • Print_ISBN
    978-1-4799-2859-0
  • Type

    conf

  • DOI
    10.1109/CECNet.2013.6703263
  • Filename
    6703263