15 April 2010 3D target modeling and activity analysis through target tracking
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Target ambiguity is a major problem in dense urban tracking environments with closely spaced targets. Target classification, action recognition, and 3D feature-aiding can be used to resolve this ambiguity in situations where traditional 2D feature-aiding techniques alone are ineffective. Knowledge of target location, track state, and sensor orientation can be coupled with these techniques to improve accuracy and tracking performance even further. A combination of synthetic and real data is used to demonstrate these concepts.
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Karl Salva, Sarah Bischoff, Juan R. Vasquez, "3D target modeling and activity analysis through target tracking", Proc. SPIE 7698, Signal and Data Processing of Small Targets 2010, 76980Q (15 April 2010); doi: 10.1117/12.849674; https://doi.org/10.1117/12.849674

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