10 February 2012 An information theoretic trackability measure
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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.
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Scott T. Acton, Alla Aksel, "An information theoretic trackability measure", Proc. SPIE 8296, Computational Imaging X, 82960W (10 February 2012); doi: 10.1117/12.917069; https://doi.org/10.1117/12.917069
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