Motion estimation using higher order statistics

Open Access

1 June 1996

journal article
Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Image Processing

Vol. 5 (6) , 1077-1084
https://doi.org/10.1109/83.503924

Abstract

The objective of this paper is to introduce a fourth-order cost function of the displaced frame difference (DFD) capable of estimating motion even for small regions or blocks. Using higher than second-order statistics is appropriate in case the image sequence is severely corrupted by additive Gaussian noise. Some results are presented and compared to those obtained from the mean kurtosis and the mean square error of the DFD.

Keywords

This publication has 11 references indexed in Scilit:

Image motion estimation algorithms using cumulants
IEEE Transactions on Image Processing, 1995
Adaptive estimation of the fourth-order cumulant of a white stochastic process
Signal Processing, 1995
Motion Analysis and Image Sequence Processing
Published by Springer Nature ,1993
A statistical image model for motion estimation
Published by Institute of Electrical and Electronics Engineers (IEEE) ,1993
Noise reduction of severely corrupted image sequences
Published by Institute of Electrical and Electronics Engineers (IEEE) ,1993
Tutorial on higher-order statistics (spectra) in signal processing and system theory: theoretical results and some applications
Proceedings of the IEEE, 1991
A pel-recursive Wiener-based displacement estimation algorithm
Signal Processing, 1987
Improved Pel-Recursive Motion Compensation
IEEE Transactions on Communications, 1984
Determining optical flow
Artificial Intelligence, 1981
Motion-Compensated Television Coding: Part I
Bell System Technical Journal, 1979