Linear Complexity Gibbs Sampling for Generalized Labeled Multi-Bernoulli Filtering
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DOI: 10.1109/tsp.2023.3277220
Abstract: Generalized Labeled Multi-Bernoulli (GLMB) densities arise in a host of multi-object system applications analogous to Gaussians in single-object filtering. However, computing the GLMB filtering density requires solving NP-hard problems. To alleviate this computational bottleneck, we… read more here.
Keywords: labeled multi; multi bernoulli; generalized labeled; gibbs ... See more keywords