• DocumentCode
    2577144
  • Title

    Vehicle color recognition using monocular camera

  • Author

    Yang, Mengjie ; Han, Guang ; Li, Xiaofei ; Zhu, Xiuchang ; Li, Liang

  • Author_Institution
    Eng. Res. Center of Wideband Wireless Commun. & Display Tech., Nanjing Univ. of P&T, Nanjing, China
  • fYear
    2011
  • fDate
    9-11 Nov. 2011
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper introduces a novel moving vehicle color recognition method. By processing videos recorded by monocular camera on traffic, we get single color image of vehicles which are crossed the traffic in any direction. First, paper employed a H-S two dimension histogram method to detect the color of the vehicles, and distinguish red, yellow, green and blue four color vehicles. Due to deal with the vehicles that do not satisfy above 4 colors, Regional Color Judgment method is proposed. This method consists of the following five steps: Firstly, position the color detection region by identifying the travelling direction of the vehicle. Then pick out the candidate color extraction region used to vehicle recognition. At last extract the color of the candidate region and match the color with the templates we predefined, the color of the best fit template is the color of the vehicle.
  • Keywords
    cameras; feature extraction; image colour analysis; image recognition; vehicles; video signal processing; H-S two dimension histogram method; candidate color extraction region; color detection region; monocular camera; moving vehicle color recognition method; regional color judgment method; vehicle travelling direction; videos processing; Color; Histograms; Image color analysis; Image edge detection; Roads; Vehicles; Videos; HSV space; region choice; vehicle color recognition; vehicle detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Signal Processing (WCSP), 2011 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4577-1009-4
  • Electronic_ISBN
    978-1-4577-1008-7
  • Type

    conf

  • DOI
    10.1109/WCSP.2011.6096902
  • Filename
    6096902