Lie group parametrization for dynamics based prior in ATR
Srivastava, A.; Miller, M.I.; Grenander, U.
Digital Signal Processing Workshop, 1994., 1994 Sixth IEEE
Volume , Issue , 2-5 Oct 1994 Page(s):97 - 100
Digital Object Identifier   10.1109/DSP.1994.379865
Summary:In recent automated target recognition (ATR) literature, there is increasing utilization of motion dynamics for tracking and recognizing moving targets. The dynamics along with the sensor models provide a Bayesian framework for conditional mean estimation of scene parameters. Previously, the authors have presented a random sampling algorithm for empirical generation of estimates based on jump-diffusion processes. Here we describe a different parameterization for simplifying the derivation of a more informative prior, from Newtonian mechanics, on the target configurations

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