Analytic Combinatorics and Labeling in High Level Fusion and Multihypothesis Tracking
Roy L. Streit · 2018
The method of analytic combinatorics and labeling is shown to be a unifying framework in which to pose both high and low level data fusion problems. The method uses labeled generating functions. Several examples from high level fusion and multiple target tracking are given. Examples from high level fusion include natural language processing and noisy graph association problems. Examples from multitarget tracking include multidimensional assignment problems, unlabeled and labeled JPDA, labeled multiBernoulli filters, and multihypothesis tracking.