• DocumentCode
    1723651
  • Title

    Variational model for robust computation of optical flow under varying illumination

  • Author

    Kharbat, M. ; Aouf, N.

  • Author_Institution
    Dept. of Inf. & Sensors, Cranfield Univ., Shrivenham, UK
  • fYear
    2010
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    We present a variational optical flow method to robustly estimate motion under varying illumination. The corresponding energy functional adopts two constancy assumptions including moments-based descriptors as well as the gradient of the brightness. We illustrate how the proposed assumptions are designed to compensate for the multiplicative and additive components of the brightness variation. The method is described within a combined local-global framework which preserves discontinuity over spatiotemporal domain. Comprehensive evaluations demonstrate the reliable results of our method under strong varying illumination as well as its robustness against random noise.
  • Keywords
    gradient methods; image sequences; lighting; motion estimation; brightness gradient; moments based descriptors; motion estimation; random noise; robust optical flow computation; variational optical flow method; varying illumination; Additives; Brightness; Equations; Lighting; Mathematical model; Pixel; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cybernetic Intelligent Systems (CIS), 2010 IEEE 9th International Conference on
  • Conference_Location
    Reading
  • Print_ISBN
    978-1-4244-9023-3
  • Electronic_ISBN
    978-1-4244-9024-0
  • Type

    conf

  • DOI
    10.1109/UKRICIS.2010.5898120
  • Filename
    5898120