Multiple Scan Data Association by Convex Variational Inference
Williams, Jason L; Lau, Roslyn
Data association, the reasoning over correspondence between targets and measurements, is a problem of fundamental importance in target tracking. Recently, belief propagation (BP) has emerged as a promising method for estimating the marginal probabilities of measurement to target association, providing fast, accurate estimates. The excellent performance of BP in the particular formulation used may be attributed to the convexity of the underlying free energy, which it implicitly optimizes. This...[Show more]
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|Source:||IEEE Transactions on Signal Processing|
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