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Proceedings Paper

An information theoretic trackability measure
Author(s): Scott T. Acton; Alla Aksel
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Paper Abstract

There exists no measure to quantify the difficulty of a video tracking problem. Such difficulty depends upon the quality of the video and upon the ability to distinguish the target from the background and from other potential targets. We define a trackability measure in an information theoretic framework. The tools of information theory allow a measure of trackability that seamlessly combines the video-dependent aspects with the target-dependent aspects of tracking difficulty using measure of rate and information content. Specifically, video quality is encapsulated into a term that measures spatial resolution, temporal resolution and signal-to-noise ratio by way of a Shannon-Hartley analysis. Then, the ability to correctly match a template to a target is evaluated through an analysis of the mutual information between the template, the detected signal and the interfering clutter. The trackability measure is compared to the performance of a recent tracker based on scale space features computed via connected filters. The results show high Spearman correlation magnitude between the trackability measure and actual performance.

Paper Details

Date Published: 10 February 2012
PDF: 12 pages
Proc. SPIE 8296, Computational Imaging X, 82960W (10 February 2012); doi: 10.1117/12.917069
Show Author Affiliations
Scott T. Acton, Univ. of Virginia (United States)
Alla Aksel, Univ. of Virginia (United States)

Published in SPIE Proceedings Vol. 8296:
Computational Imaging X
Charles A. Bouman; Ilya Pollak; Patrick J. Wolfe, Editor(s)

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