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
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