• DocumentCode
    523730
  • Title

    Removing Shadows and Ghosts with an Improved Background Mixture Model

  • Author

    Zhu, Zhenli ; He, Yujing

  • Author_Institution
    Fire Dept. of Hebei Province, Shijiazhuang, China
  • Volume
    2
  • fYear
    2010
  • fDate
    11-12 May 2010
  • Firstpage
    1020
  • Lastpage
    1023
  • Abstract
    We describe an improved background mixture model to detect motion and remove illumination changes, shadows and ghosts. The shadows and ghosts detection processing is fused with updating background subtraction model after the frame is transformed to Hue Saturation Value (HSV) color space from Red Green Blue (RGB) color space in order to reduce the effect of illumination changes, shadows and ghosts. Compared with the traditional background mixture model, the improved method can avoid the bad effect of shadows and ghosts, and it is highly computationally cost-effective.
  • Keywords
    image colour analysis; image recognition; motion estimation; video surveillance; HSV; RGB; background mixture model improvement; background subtraction model; ghosts detection processing; hue saturation value; illumination changes; red green blue color space; shadow detection processing; Automation; Decision support systems; Virtual reality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4244-7279-6
  • Electronic_ISBN
    978-1-4244-7280-2
  • Type

    conf

  • DOI
    10.1109/ICICTA.2010.898
  • Filename
    5522974