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Proceedings Paper

Combining Motion And Segmentation Information For Localization Of Occlusion Boundaries
Author(s): Keith Moler; Alan Scherf
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Paper Abstract

An algorithm is presented for the accurate detection of occlusion boundaries in an image sequence. Both segmentation and optical flow information is utilized to form a motion image. This fusion process employs an assumption of optical flow continuity within each segmentation region. Continuity is not assumed between segmentation regions, thereby preserving potential occlusion boundaries. Two approaches for the detection of occlusion boundaries in this motion image are presented and compared. The first is the Marr-Hildreth edge detector and the second applies cluster analysis and linear modeling techniques. The algorithm has been tested on infrared imagery, and occlusion boundaries have been detected with a high degree of localization accuracy.

Paper Details

Date Published: 16 December 1988
PDF: 7 pages
Proc. SPIE 0974, Applications of Digital Image Processing XI, (16 December 1988); doi: 10.1117/12.948477
Show Author Affiliations
Keith Moler, Ford Aerospace Corporation (United States)
Alan Scherf, Ford Aerospace Corporation (United States)

Published in SPIE Proceedings Vol. 0974:
Applications of Digital Image Processing XI
Andrew G. Tescher, Editor(s)

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