Hanzi Wang and David Suter
Department of Electrical and Computer Systems Engineering
Monash University, Clayton Vic. 3800, Australia
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%. In
this paper, 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.