• DocumentCode
    2226060
  • Title

    Research on Moving Object Detecting and Shadow Removal

  • Author

    Li Dan ; Qian Jiansheng

  • Author_Institution
    Dept. of Inf. & Electr. Eng., CUMT, Xuzhou, China
  • fYear
    2009
  • fDate
    26-28 Dec. 2009
  • Firstpage
    1406
  • Lastpage
    1410
  • Abstract
    The paper uses new methods to detect moving objects under different illumination environment. Improved on-line Gaussian Mixture Model combines background subtraction method is used to update the background image under gradual illumination changes environment and color gradient combines morphologic method to update the background image under sudden illumination changes environment. After analyzing the brightness and sensitivity characteristics of shadow in different colorspace such as RGB,HSV,YCbCr etc. The paper points out HSV colorspace is suitable to remove visible shadow and YCbCr colorspace is suitable to remove invisible shadow. The experiment shows that the system is effective and feasible.
  • Keywords
    Gaussian processes; brightness; gradient methods; mathematical morphology; object detection; Gaussian mixture model; HSV colorspace; brightness characteristics; color gradient; gradual illumination; morphologic method; moving object detecting research; sensitivity characteristics; shadow removal; Brightness; Change detection algorithms; Image motion analysis; Information science; Layout; Lighting; Noise figure; Object detection; Optical filters; Optical sensors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ICISE), 2009 1st International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4909-5
  • Type

    conf

  • DOI
    10.1109/ICISE.2009.970
  • Filename
    5455262