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
Link To Document :
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