Share Email Print

Proceedings Paper

Use of the EM algorithm in image registration in a scene captured by a moving camera
Author(s): Nader M. Namazi; William Scharpf; Jay Obermark; James N. Caron
Format Member Price Non-Member Price
PDF $17.00 $21.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

This paper presents the use of Expectation-Maximization (EM) method for image motion registration in a scene captured by a moving camera. In [1] we presented a new iterative algorithm for the correction of geometrical distortion caused by global motion in a scene. A binary hypotheses test was subsequently established to classify the pixels in the corrected image as either locally moving (object motion) or not moving (stationary). There were some unknown parameters, such as noise variance and motion variance, in the developments that needed to be estimated. This paper presents the use of the EM algorithm to estimate these parameters. We present experiments with real image sequences to validate the analytical developments.

Paper Details

Date Published: 7 September 2010
PDF: 16 pages
Proc. SPIE 7798, Applications of Digital Image Processing XXXIII, 77982I (7 September 2010); doi: 10.1117/12.863383
Show Author Affiliations
Nader M. Namazi, The Catholic Univ. of America (United States)
William Scharpf, U.S. Naval Research Lab. (United States)
Jay Obermark, DCS Corp. (United States)
James N. Caron, Research Support Instruments, Inc. (United States)

Published in SPIE Proceedings Vol. 7798:
Applications of Digital Image Processing XXXIII
Andrew G. Tescher, Editor(s)

© SPIE. Terms of Use
Back to Top