• DocumentCode
    3247429
  • Title

    Indoor video moving objects detection based on the independent component analysis with reference

  • Author

    Chunsheng, Guo ; Ming, ZHU

  • Author_Institution
    Coll. of Commun. Eng., Hangzhou Dianzi Univ., Hangzhou, China
  • Volume
    1
  • fYear
    2010
  • fDate
    16-18 Oct. 2010
  • Firstpage
    322
  • Lastpage
    326
  • Abstract
    Moving objects and static background are independent in video scene. But due to the same environment and video cameras, moving objects and static background in video frames are relevant. So based on the correlation between the moving objects and static background, a reference image of moving objects is constructed. And this reference image is used in the algorithm of video moving objects detection based on the independent component analysis to improve the performance. Experimental results show that the proposed algorithm has good quantitative detection performance and high efficiency of training and detection in indoor scene of dramatic changes of illumination.
  • Keywords
    image motion analysis; image sequences; independent component analysis; object detection; video signal processing; ICA; independent component analysis; indoor video moving object detection; reference image; static background; video camera; video frame; video scene; Algorithm design and analysis; Correlation; Independent component analysis; Lighting; Object detection; Pixel; Training; Independent Component Analysis (ICA); Moving Objects Detection; Video Separation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing (CISP), 2010 3rd International Congress on
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4244-6513-2
  • Type

    conf

  • DOI
    10.1109/CISP.2010.5646276
  • Filename
    5646276