Simultaneous motion parameter estimation and image segmentation using the EM algorithm

Author

Matthews, Kristine E. ; Namazi, Nader M.

Author_Institution

Dept. of Electr. Eng., Catholic Univ. of America, Washington, DC, USA

Volume

1

fYear

1995

fDate

23-26 Oct 1995

Firstpage

542

Abstract

We propose and investigate a method to simultaneously segment an image in a sequence of images into regions of uncovered background, moving, and stationary pixels and estimate parameters of interest for the various regions. The basis of our method is the expectation-maximization (EM) algorithm for maximum-likelihood estimation. We view the intensity difference between image frames as the incomplete data and the intensity difference with the region identifier as the complete data

Keywords

image segmentation; image sequences; maximum likelihood estimation; motion estimation; EM algorithm; expectation-maximization; image frames; image segmentation; image sequence; intensity difference; maximum-likelihood estimation; motion parameter estimation; moving pixels; region identifier; stationary pixels; uncovered background; Additive white noise; Background noise; Gaussian noise; Image segmentation; Iterative algorithms; Maximum likelihood estimation; Motion compensation; Motion estimation; Parameter estimation; Pixel;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1995. Proceedings., International Conference on

Conference_Location

Washington, DC

Print_ISBN

0-8186-7310-9

Type

conf

DOI

10.1109/ICIP.1995.531423

Filename

531423