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2007 Technical Reports

Spatiotemporal Oriented Energy Features for Visual Tracking

Kevin Cannons and Richard P. Wildes

Technical Report CSE-2007-02

York University

May 22, 2007


This report presents a novel feature set derived from "oriented energies" for visual tracking. More specifically, energy measures are used to capture a target's multiscale orientation structure across both space and time and thereby yield a rich description of its spatiotemporal characteristics. To illustrate utility with respect to a particular tracking mechanism, we show how to instantiate oriented energy features efficiently within the mean shift estimator. Empirical evaluations of the resulting algorithm illustrate that it excels in certain important situations, such as tracking in clutter with multiple similarly colored objects and environments with changing illumination. Color-based trackers often fail when presented with these types of challenging video sequences.

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