772 citations · 2.1k across the 33 of their papers we have counts for
6 papers · 1 filter
Void Probabilities and Cauchy-Schwarz Divergence for Generalized Labeled Multi-Bernoulli Models
Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo +1
The generalized labeled multi-Bernoulli (GLMB) is a family of tractable models that alleviates the limitations of the Poisson family in dynamic Bayesian inference of point processe…
Multiple Extended Target Tracking with Labelled Random Finite Sets
Michael Beard, Stephan Reuter, Karl Granström +3
Targets that generate multiple measurements at a given instant in time are commonly known as extended targets. These present a challenge for many tracking algorithms, as they viola…
Multi-Target Tracking with Time-Varying Clutter Rate and Detection Profile: Application to Time-lapse Cell Microscopy Sequences
Seyed Hamid Rezatofighi, Stephen Gould, Ba Tuong Vo +3
Quantitative analysis of the dynamics of tiny cellular and sub-cellular structures, known as particles, in time-lapse cell microscopy sequences requires the development of a reliab…
A Generalized Labeled Multi-Bernoulli Filter Implementation using Gibbs Sampling
Hung Gia Hoang, Ba-Tuong Vo, Ba-Ngu Vo
This paper proposes an efficient implementation of the generalized labeled multi-Bernoulli (GLMB) filter by combining the prediction and update into a single step. In contrast to t…
Consensus Labeled Random Finite Set Filtering for Distributed Multi-Object Tracking
C. Fantacci, B. -N. Vo, B. -T. Vo +2
This paper addresses distributed multi-object tracking over a network of heterogeneous and geographically dispersed nodes with sensing, communication and processing capabilities. T…
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…