Title :
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
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;
Conference_Titel :
Image Processing, 1995. Proceedings., International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-8186-7310-9
DOI :
10.1109/ICIP.1995.531423
