• DocumentCode
    1931117
  • Title

    Moving Human Body Detection in Video Sequences

  • Author

    Li, Chun-Ming ; Li, Yu-Shan ; Wang, Shu-hai ; Zhang, Xiu-qing

  • Author_Institution
    Hebei Univ. of Sci. & Technol., Shijiazhuang
  • Volume
    4
  • fYear
    2007
  • fDate
    19-22 Aug. 2007
  • Firstpage
    2188
  • Lastpage
    2192
  • Abstract
    A human body detection algorithm based on the combination of moving information with shape information is proposed in the paper. Firstly, Eigen-object computed from three frames in the initial video sequences is used to detect the moving object. Secondly, the shape information of human body is used to classify human and other object. Furthermore, the occlusion between two objects during a short time is processed by using continues multiple frames. The advantages of the algorithm are accurately moving object detection, and the detection result doesn´t effect by body pose. Moreover, as the shadow of moving object has been eliminated in the detection step, the human body extracted doesn´t effect by shadow.
  • Keywords
    eigenvalues and eigenfunctions; image motion analysis; image sequences; object detection; video signal processing; human body detection algorithm; moving human body detection; moving object detection; shape information; video sequences; Cybernetics; Detection algorithms; Humans; Machine learning; Motion detection; Object detection; Quantum computing; Shape; Surveillance; Video sequences; Eigen-object; Human body detection; Moving detection; Video sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2007 International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-0973-0
  • Electronic_ISBN
    978-1-4244-0973-0
  • Type

    conf

  • DOI
    10.1109/ICMLC.2007.4370508
  • Filename
    4370508