Object tracking using cluster of elastically linked feature trackers

Andrew Cilia

doi:10.1117/1.2931494

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.

Citation Download Citation

Andrew Cilia, "Object tracking using cluster of elastically linked feature trackers," Journal of Electronic Imaging 17(2), 023019 (1 April 2008). https://doi.org/10.1117/1.2931494

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