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Proceedings Paper

Nonrigid object tracking using a likelihood spatio-temporal model
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Paper Abstract

In this paper, we present a technique for tracking non-rigid video objects in a sequence. It assumes that the object in the initial image has been previously defined by an object partition. Most of object tracking methods usually rely on the motion homogeneity of the object to be tracked. They do not assume that the selected objects present either motion or spatial homogeneity. When they assume these, they employed a spatial or temporal criterion separately to achieve the object tracking. Our proposed object tracking approach relies on the concept of backward partition projection using a likelihood joint spatial-temporal model to deal with occlusion, uncover areas and fast motion problems. Several examples in different scenarios are finally presented in order to demonstrate the performance of the proposed method.

Paper Details

Date Published: 23 June 2003
PDF: 12 pages
Proc. SPIE 5150, Visual Communications and Image Processing 2003, (23 June 2003); doi: 10.1117/12.502249
Show Author Affiliations
Dubhe Chavira-Martinez, IRISA/INRIA (France)
Stephane Pateux, IRISA/INRIA (France)


Published in SPIE Proceedings Vol. 5150:
Visual Communications and Image Processing 2003
Touradj Ebrahimi; Thomas Sikora, Editor(s)

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