211 citations · 329 across the 3 of their papers we have counts for
3 papers
stat.ME2015★ 89 cited
A Particle Multi-Target Tracker for Superpositional Measurements using Labeled Random Finite Sets
Francesco Papi, Du Yong Kim
In this paper we present a general solution for multi-target tracking with superpositional measurements. Measurements that are functions of the sum of the contributions of the targ…
stat.CO2015★ 29 cited
The Marginalized -GLMB Filter
C. Fantacci, B. -T. Vo, F. Papi +1
The multi-target Bayes filter proposed by Mahler is a principled solution to recursive Bayesian tracking based on RFS or FISST. The -GLMB filter is an exact closed form solution…
stat.OT2014★ 211 cited
Generalized Labeled Multi-Bernoulli Approximation of Multi-Object Densities
Francesco Papi, Ba-Ngu Vo, Ba-Tuong Vo +2
In multi-object inference, the multi-object probability density captures the uncertainty in the number and the states of the objects as well as the statistical dependence between t…