Abstract

A method for calculating optic flow, using robust statistics, is developed. The method generally out-performs all competing methods in terms of accuracy. One of the key features in the success of this method, is that we use Least Median of Squares, which is known to be robust to outliers. The computationalcost is kept very low by using an approximate solution to the Least Median of Squares only in a first stage that detects outliers. The essential ingredients of our method should be applicable in a wide range of other computer vision problems. 1. Introduction In this paper, we use robust statistical methods to achieve an increase in accuracy and a degree of robustness in optic flow computation. We base the approach on robustlysolving the optic flow constraints [8][11]: I x u x + I y u y + I t = 0 (1) which relate the spatial (I x and I y ) and temporal (I t ) derivatives of the image brightness function, at each point, to the optic flow, (u x ; u y ); at that point. The inherent ass...

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