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Object tracking using cluster of elastically linked feature trackers

[+] Author Affiliations
Andrew Cilia

University of Texas at Dallas, Department of Electrical Engineering, Richardson, Texas 75080

J. Electron. Imaging. 17(2), 023019 (May 30, 2008). doi:10.1117/1.2931494
History: Received October 29, 2006; Revised October 21, 2007; Accepted October 26, 2007; Published May 30, 2008
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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.

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Citation

Andrew Cilia
"Object tracking using cluster of elastically linked feature trackers", J. Electron. Imaging. 17(2), 023019 (May 30, 2008). ; http://dx.doi.org/10.1117/1.2931494


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