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The authors introduce Spot as an accurate and efficient system for multi-entity Device-Free (DF) detection and tracking. Current state-of-the-art systems focused on the tracking of a single entity because of the intractability of the multi-entity case that leads to exponential complexity. Spot provides a novel cross-calibration technique that reduces the overhead of multiple entities calibration from exponential to linear. Spot also captures the spatial relations between the entities' poses into a probabilistic energy minimization framework via a conditional random field model. The designed energy minimization function is solved by a binary graph-cut algorithm.
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