Choosing the optimal neighbourhood size in optical flow problems with errors-in-variables modelling

This paper brings together two research issues in optical flow estimation: the selection of the smoothing parameter and the proper treatment of the correlated noise in the partial derivatives of the image intensity. In previous work, the authors have developed an optical flow estimation method which properly treats the errors-in-variables problem cause by the correlated noise in the spatio-temporal derivatives of the image intensity. This method requires the specification of a neighbourhood size to use when optical flow calculations are made. In this paper we present a data-driven method for choosing the optimal neighbourhood size.