• DocumentCode
    3007044
  • Title

    Optical Flow Analysis Based on Lattice Boltzmann Method and Lower Order Approximation with Relaxation Factors

  • Author

    Ding, Guang-Tai ; Li, Shu-Qing ; Luo, Dan-Xia

  • Author_Institution
    Sch. of Comput. Eng. & Sci., Shanghai Univ., Shanghai, China
  • fYear
    2010
  • fDate
    29-31 Oct. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The main idea of the lattice Boltzmann method, which is used in computational fluid dynamics theory for the simulation of fluid dynamics, is involved and developed to solve the optical flow motion estimation problem in this paper. Several different types of approximations to optical flow equation are presented to modify the optical flow constraint. By using Gaussian smoothing filter to image sequence before the motion estimating, a lattice Boltzmann-BGK equation is established. The computation upon the method involves iterations. The experimental results show that the estimating algorithm works well, and the lattice Boltzmann method solution of optical flow equation based on Gaussian smoothing is effective.
  • Keywords
    Gaussian processes; approximation theory; image motion analysis; image sequences; lattice Boltzmann methods; relaxation theory; smoothing methods; Gaussian smoothing; Gaussian smoothing filter; computational fluid dynamics theory; fluid dynamics simulation; image sequence; lattice Boltzmann method; lower order approximation; optical flow motion estimation; relaxation factors; Approximation methods; Computer vision; Equations; Image motion analysis; Lattice Boltzmann methods; Mathematical model; Optical imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Technology (ICMT), 2010 International Conference on
  • Conference_Location
    Ningbo
  • Print_ISBN
    978-1-4244-7871-2
  • Type

    conf

  • DOI
    10.1109/ICMULT.2010.5631250
  • Filename
    5631250