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Journal of Electronic Imaging

Object tracking using cluster of elastically linked feature trackers
Author(s): Andrew Cilia
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Paper Abstract

The problem of deformable objects in complex, cluttered environments is addressed. This approach, called the Cluster Tracker, concentrates on sectioning and tracking small features rather than the whole image as more conventional trackers do. Results indicate that the Cluster Tracker exhibits higher tracking reliability in heavily cluttered environments due to its ability to maintain track lock on objects even when they are partially obscured. The core of this method is based on an elastic matrix framework that supports a flexible structured model of the target. This approach allows the tracker to follow deformations of the target’s body shape and to estimate the location of occluded features.

Paper Details

Date Published: 1 April 2008
PDF: 11 pages
J. Electron. Imag. 17(2) 023019 doi: 10.1117/1.2931494
Published in: Journal of Electronic Imaging Volume 17, Issue 2
Show Author Affiliations
Andrew Cilia, Clean Earth Technologies, LLC (United States)

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