Coalitional Tracker for Deception Detection in Thermal Imagery
نویسندگان
چکیده
We propose a novel tracking method that uses a network of independent particle filter trackers whose interactions are modeled using coalitional game theory. Our tracking method is general; it maintains pixel-level accuracy, and can negotiate surface deformations and occlusions. We tested our method in a substantial video set featuring nontrivial motion from over 40 objects in both the infrared and vi sual spectra. The coalitional tracker demonstrated fault-tolerant behavior that far exceeds the performance of single-particle filter trackers. Our method represents a shift from the typical tracking paradigms and may find application in demanding imaging problems across the electromagnetic spectrum.
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