• DocumentCode
    1638477
  • Title

    A Moving Objects Detection Algorithm Based on Improved Background Subtraction

  • Author

    Niu, Lianqiang ; Jiang, Nan

  • Author_Institution
    Shenyang Univ. of Technol., Shenyang
  • Volume
    3
  • fYear
    2008
  • Firstpage
    604
  • Lastpage
    607
  • Abstract
    This paper puts forward an improved background subtraction of moving object detection under fixed camera condition. First of all, considering the pixels neighboring relativity, the algorithm through the interval pixels establishment of Gaussian mixture model instead of the traditional point by point establishes Gaussian mixture model in background subtraction. Then, combining the adaptive background subtraction with the symmetrical differencing obtains the integrity foreground image. At last, using chromaticity difference to eliminate the shadow of moving target, effectively distinguishes moving shadow and moving target .The results show that the algorithm could quickly establish background model and detect integrity moving target rapidly.
  • Keywords
    Gaussian distribution; image colour analysis; image motion analysis; object detection; Gaussian mixture model; adaptive background subtraction; camera; chromaticity difference; color model; foreground image integrity; image pixel; moving object detection algorithm; target detection; Data mining; Hardware; Image motion analysis; Integrated optics; Intelligent systems; Layout; Object detection; Optical sensors; Pixel; Smart cameras; Gaussian mixture model; background subtraction; moving object; symmetrical differencing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems Design and Applications, 2008. ISDA '08. Eighth International Conference on
  • Conference_Location
    Kaohsiung
  • Print_ISBN
    978-0-7695-3382-7
  • Type

    conf

  • DOI
    10.1109/ISDA.2008.337
  • Filename
    4696536