364 citations · 1.3k across the 18 of their papers we have counts for
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3 papers · 1 filter
cs.AI2012★ 159 cited
Approximate evaluation of marginal association probabilities with belief propagation
Jason L. Williams, Roslyn A. Lau
Data association, the problem of reasoning over correspondence between targets and measurements, is a fundamental problem in tracking. This paper presents a graphical model formula…
eess.SY2012★ 51 cited
Hybrid Poisson and multi-Bernoulli filters
Jason L. Williams
The probability hypothesis density (PHD) and multi-target multi-Bernoulli (MeMBer) filters are two leading algorithms that have emerged from random finite sets (RFS). In this paper…
eess.SY2012★ 364 cited
Marginal multi-Bernoulli filters: RFS derivation of MHT, JIPDA and association-based MeMBer
Jason L. Williams
Recent developments in random finite sets (RFSs) have yielded a variety of tracking methods that avoid data association. This paper derives a form of the full Bayes RFS filter and…