• DocumentCode
    2737118
  • Title

    Using energy flow information for video segmentation

  • Author

    Zhang, Zhongwei ; Liu, Guizhong ; Li, Hongliang ; Li, Yongli

  • Author_Institution
    Sch. of Electron. & Inf., Xi´´an Jiaotong Univ., China
  • Volume
    2
  • fYear
    2003
  • fDate
    14-17 Dec. 2003
  • Firstpage
    1201
  • Abstract
    A novel concept, the image temperature, is proposed to describe the image motion in a video. The idea comes from the revelation of the Maxwell Distribution Law in the gas molecule moving theories. Furthermore, Energy Flow Equation (EFE) is developed to estimate the motion field between images. The energy flow field estimated by the EFE presents more accurate motion field than the traditional optical flow field does. When the energy flow information is applied to the video segmentation, the experimental results indicate that the new method gives better performance than the existing method.
  • Keywords
    image segmentation; image sequences; motion estimation; Maxwell distribution law; energy flow equation; energy flow field; energy flow information; gas molecule; image motion field estimation; image temperature; optical flow field; video segmentation; Image motion analysis; Image segmentation; Maxwell equations; Maxwell-Boltzmann distribution; Motion analysis; Motion estimation; Physics; Pixel; Temperature distribution; Video sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    0-7803-7702-8
  • Type

    conf

  • DOI
    10.1109/ICNNSP.2003.1281085
  • Filename
    1281085