• DocumentCode
    2173024
  • Title

    Variable bandwidth QMDPE and its application in robust optical flow estimation

  • Author

    Wang, Hanzi ; Suter, David

  • Author_Institution
    Dept. of Electr. & Comput. Syst. Eng., Monash Univ., Clayton, Vic., Australia
  • fYear
    2003
  • fDate
    13-16 Oct. 2003
  • Firstpage
    178
  • Abstract
    Robust estimators, such as least median of squared (LMedS) residuals, M-estimators, the least trimmed squares (LTS) etc., have been employed to estimate optical flow from image sequences in recent years. However, these robust estimators have a breakdown point of no more than 50%. We propose a novel robust estimator, called variable bandwidth quick maximum density power estimator (vbQMDPE), which can tolerate more than 50% outliers. We apply the novel proposed estimator to robust optical flow estimation. Our method yields better results than most other recently proposed methods, and it has the potential to better handle multiple motion effects.
  • Keywords
    estimation theory; image motion analysis; image sequences; LMedS; LTS; M-estimator; image sequence; least median of squared residual; least trimmed square; multiple motion effect; optical flow estimation; robust estimator; variable bandwidth quick maximum density power estimator; vbQMDPE; Bandwidth; Computer vision; Data mining; Electric breakdown; Equations; Image motion analysis; Image sequences; Least squares approximation; Optical computing; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision, 2003. Proceedings. Ninth IEEE International Conference on
  • Conference_Location
    Nice, France
  • Print_ISBN
    0-7695-1950-4
  • Type

    conf

  • DOI
    10.1109/ICCV.2003.1238337
  • Filename
    1238337