Title :
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
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;
Conference_Titel :
Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
0-8186-8821-1
DOI :
10.1109/ICIP.1998.723344
