An information theoretic trackability measure

Scott T. Acton; Alla Aksel

doi:10.1117/12.917069

10 February 2012 An information theoretic trackability measure

Scott T. Acton, Alla Aksel

Proceedings Volume 8296, Computational Imaging X; 82960W (2012) https://doi.org/10.1117/12.917069
Event: IS&T/SPIE Electronic Imaging, 2012, Burlingame, California, United States

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.

Citation Download Citation

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

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