• DocumentCode
    2107779
  • Title

    Texture Analysis for Shadow Removing and Tracking of Vehicle in Traffic Monitoring System

  • Author

    Luo Di ; Huang Xiangnian

  • Author_Institution
    Coll. of Math. & Comput. Sci., Xi Hua Univ., Chengdu
  • fYear
    2008
  • fDate
    21-22 Dec. 2008
  • Firstpage
    863
  • Lastpage
    866
  • Abstract
    Video-based surveillance and measuring have been employed more and more widely in traffic monitoring system because of the rich information content contained in video. The vehicles need to be segmented from the video images, the result of vehicles segmentation using background subtraction is not only vehicles but also shadows of vehicles, a method of shadow removing based on texture analysis is presented in this paper. After that, we present a method of tracking of vehicles based on mapping the texture feature. Our method of shadow removing and tracking using texture analysis is simple and efficient.
  • Keywords
    feature extraction; image segmentation; image texture; object detection; road traffic; road vehicles; video surveillance; background subtraction; image segmentation; shadow removing method; texture feature analysis; traffic monitoring system; vehicle tracking; video-based surveillance; Application software; Computerized monitoring; Entropy; Image segmentation; Information technology; Intelligent vehicles; Layout; Object detection; Surveillance; Vehicle detection; Video-based surveillance; texture analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Technology Application Workshops, 2008. IITAW '08. International Symposium on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3505-0
  • Type

    conf

  • DOI
    10.1109/IITA.Workshops.2008.169
  • Filename
    4732074