Use of the EM algorithm in image registration in a scene captured by a moving camera

Nader M. Namazi; William Scharpf; Jay Obermark; James N. Caron

doi:10.1117/12.863383

7 September 2010 Use of the EM algorithm in image registration in a scene captured by a moving camera

Nader M. Namazi, William Scharpf, Jay Obermark, James N. Caron

Proceedings Volume 7798, Applications of Digital Image Processing XXXIII; 77982I (2010) https://doi.org/10.1117/12.863383
Event: SPIE Optical Engineering + Applications, 2010, San Diego, California, United States

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.

Citation Download Citation

Nader M. Namazi, William Scharpf, Jay Obermark, and James N. Caron "Use of the EM algorithm in image registration in a scene captured by a moving camera", Proc. SPIE 7798, Applications of Digital Image Processing XXXIII, 77982I (7 September 2010); https://doi.org/10.1117/12.863383

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KEYWORDS

Expectation maximization algorithms

Motion estimation

Cameras

Distortion

Image registration

Binary data

Motion detection

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