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Proceedings Paper

Multilayer robust estimation for motion segmentation
Author(s): Trevor J. Darrell; Alexander P. Pentland
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Paper Abstract

In order to recover an accurate representation of a scene containing multiple moving objects, one must use estimation methods that can recover both model parameters and segmentation at the same time. We introduce a new layered model of scene segmentation based on explicitly representing the support of a homogeneous region. Our model employs parallel robust estimation techniques, and uses a minimal-covering optimization to estimate the number of objects in the scene. Using a simple direct motion model of translating objects, we successfully segment real image sequences containing multiple motions.

Paper Details

Date Published: 14 February 1992
PDF: 6 pages
Proc. SPIE 1613, Mobile Robots VI, (14 February 1992); doi: 10.1117/12.135181
Show Author Affiliations
Trevor J. Darrell, Media Lab./MIT (United States)
Alexander P. Pentland, Media Lab./MIT (United States)

Published in SPIE Proceedings Vol. 1613:
Mobile Robots VI
William J. Wolfe; Wendell H. Chun, Editor(s)

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