• DocumentCode
    2793325
  • Title

    Motion object detection of video based on principal component analysis

  • Author

    Zhang, Chao-Yang ; Pan, Bao-chang ; Zheng, Sheng-lin ; Cao, Xiao-Jun

  • Author_Institution
    Fac. of Inf. Eng., Guangdong Univ. of Technol., Guangzhou
  • Volume
    5
  • fYear
    2008
  • fDate
    12-15 July 2008
  • Firstpage
    2938
  • Lastpage
    2943
  • Abstract
    As the traditional method of background subtraction is interfered greatly by external factors, such as light, this paper proposes a method which utilizes three adjacent frames of image sequences to compute the principal components at first , then extracts the second principal component to remove the background of image. Through employing the operation of mathematical morphology and an improved background subtraction, it can remove the background of image efficiently, and implement quick detection. The result of experiment proves that, this method can improve efficiency and precision of detection, and has its practical value in the video monitoring.
  • Keywords
    image motion analysis; image sequences; mathematical morphology; object detection; principal component analysis; video signal processing; background subtraction; image sequence; mathematical morphology; motion object detection; principal component analysis; video monitoring; video processing; Computerized monitoring; Image motion analysis; Image sequences; Machine learning; Motion analysis; Object detection; Optical filters; Optical noise; Optical sensors; Principal component analysis; Background updating; Bottom-hat transformation; Principal component analysis; Top-hat transformation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2008 International Conference on
  • Conference_Location
    Kunming
  • Print_ISBN
    978-1-4244-2095-7
  • Electronic_ISBN
    978-1-4244-2096-4
  • Type

    conf

  • DOI
    10.1109/ICMLC.2008.4620911
  • Filename
    4620911