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

Author

Ng, Lydia ; Solo, Victor

Author_Institution

Dept. of Electron., Macquarie Univ., North Ryde, NSW, Australia

Volume

2

fYear

1998

fDate

4-7 Oct 1998

Firstpage

186

Abstract

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

Keywords

correlation methods; error analysis; image sequences; noise; optimisation; parameter estimation; smoothing methods; stochastic processes; correlated noise; data-driven method; errors-in-variables modelling; image intensity; optical flow estimation; optimal neighbourhood size; partial derivatives; research; smoothing parameter selection; spatio-temporal derivatives; stochastic model; Brightness; Error analysis; Image motion analysis; Image restoration; Least squares approximation; Optical devices; Optical noise; Smoothing methods; Statistics; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on

Conference_Location

Chicago, IL

Print_ISBN

0-8186-8821-1

Type

conf

DOI

10.1109/ICIP.1998.723344

Filename

723344