148 citations · 550 across the 18 of their papers we have counts for
10 papers · 1 filter
Distributed multi-view multi-target tracking based on CPHD filtering
Guchong Li, Giorgio Battistelli, Luigi Chisci +2
This paper addresses distributed multi-target tracking (DMTT) over a network of sensors having different fields-of-view (FoVs). Specifically, a cardinality probability hypothesis d…
Computationally Efficient Distributed Multi-sensor Fusion with Multi-Bernoulli Filter
Wei Yi, Suqi Li, Bailu Wang +2
This paper proposes a computationally efficient algorithm for distributed fusion in a sensor network in which multi-Bernoulli (MB) filters are locally running in every sensor node…
Multiple Model Poisson Multi-Bernoulli Mixture Filter for Maneuvering Targets
Guchong Li
The Poisson multi-Bernoulli mixture (PMBM) filter is conjugate prior composed of the union of a Poisson point process (PPP) and a multi-Bernoulli mixture (MBM). In this paper, a ne…
Distributed Multi-sensor Multi-view Fusion based on Generalized Covariance Intersection
Guchong Li, Giorgio Battistelli, Wei Yi +1
Distributed multi-target tracking (DMTT) is addressed for sensors having different fields of view (FoVs). The proposed approach is based on the idea of fusing the posterior Probabi…
Robust Distributed Fusion with Labeled Random Finite Sets
Suqi Li, Wei Yi, Reza Hoseinnezhad +3
This paper considers the problem of the distributed fusion of multi-object posteriors in the labeled random finite set filtering framework, using Generalized Covariance Intersectio…
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…
Multi-Sensor Control for Multi-Target Tracking Using Cauchy-Schwarz Divergence
Meng Jiang, Wei Yi, Lingjiang Kong
The paper addresses the problem of multi-sensor control for multi-target tracking via labelled random finite sets (RFS) in the sensor network systems. Based on an information theor…
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…