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Proceedings Paper

Estimation And Segmentation Of Image Sequences
Author(s): D. S. Kalivas; A. A. Sawchuk; R. Chellappa
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Paper Abstract

Two of the most important problems in scene analysis of image sequences is the segmentation of image frames into moving and non-moving components and the 2-D motion estimation of the moving parts of the scene. No work has been done on combining these two problems interactively for a noisy sequence of images. Our approach first models the image sequence including information about the position of the boundary of the target. The algorithm has two parts: segmentation and 2-D motion estimation. Both parts are interactively connected. The segmentation process is based on the estimation of the boundary of the target. It uses the motion prediction from the previous frame as a priori information. For the 2-D motion estimation some methods are indicated. Since the segmentation process precedes the motion estimation, the error in the motion estimate would be significantly reduced. This algorithm can be used in most of the image sequence applications like image sequence enhancement, 3-D motion estimation, target tracking, motion-compensated coding, biomedical imaging, etc.

Paper Details

Date Published: 18 January 1988
PDF: 9 pages
Proc. SPIE 0829, Applications of Digital Image Processing X, (18 January 1988); doi: 10.1117/12.942101
Show Author Affiliations
D. S. Kalivas, University of Southern California (United States)
A. A. Sawchuk, University of Southern California (United States)
R. Chellappa, University of Southern California (United States)

Published in SPIE Proceedings Vol. 0829:
Applications of Digital Image Processing X
Andrew G. Tescher, Editor(s)

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