148 citations · 377 across the 8 of their papers we have counts for
4 papers · 2 filters
Multi-object Tracking for Generic Observation Model Using Labeled Random Finite Sets
Suqi Li, Wei Yi, Reza Hoseinnezhad +2
This paper presents an exact Bayesian filtering solution for the multi-object tracking problem with the generic observation model. The proposed solution is designed in the labeled…
Principled Random Finite Set Approximations of Labeled Multi-Object Densities
Suqi Li, Wei Yi, Bailu Wang +1
As a fundamental piece of multi-object Bayesian inference, multi-object density has the ability to describe the uncertainty of the number and values of objects, as well as the stat…
Distributed Fusion of Labeled Multi-Object Densities Via Label Spaces Matching
Bailu Wang, Wei Yi, Suqi Li +2
In this paper, we address the problem of the distributed multi-target tracking with labeled set filters in the framework of Generalized Covariance Intersection (GCI). Our analyses…
Distributed Fusion with Multi-Bernoulli Filter based on Generalized Covariance Intersection
Bailu Wang, Wei Yi, Reza Hoseinnezhad +3
In this paper, we propose a distributed multi-object tracking algorithm through the use of multi-Bernoulli (MB) filter based on generalized Covariance Intersection (G-CI). Our anal…