Publication result detail

A Fast Labeled Multi-Bernoulli Filter Using Belief Propagation

KROPFREITER, T.; MEYER, F.; HLAWATSCH, F.

Original Title

A Fast Labeled Multi-Bernoulli Filter Using Belief Propagation

English Title

A Fast Labeled Multi-Bernoulli Filter Using Belief Propagation

Type

WoS Article

Original Abstract

We propose a fast labeled multi-Bernoulli (LMB) filter that uses belief propagation for probabilistic data association. The complexity of our filter scales only linearly in the numbers of Bernoulli components and measurements, while the performance is comparable to or better than that of the Gibbs sampler-based LMB filter.

English abstract

We propose a fast labeled multi-Bernoulli (LMB) filter that uses belief propagation for probabilistic data association. The complexity of our filter scales only linearly in the numbers of Bernoulli components and measurements, while the performance is comparable to or better than that of the Gibbs sampler-based LMB filter.

Keywords

random finite sets; tracking

Key words in English

random finite sets; tracking

Authors

KROPFREITER, T.; MEYER, F.; HLAWATSCH, F.

RIV year

2021

Released

13.09.2019

ISBN

0018-9251

Periodical

IEEE Transactions on Aerospace and Electronic Systems

Volume

56

Number

3

State

United States of America

Pages from

2478

Pages to

2488

Pages count

11

URL

https://ieeexplore-ieee-org.ezproxy.lib.vutbr.cz/document/8836103

BibTex

@article{BUT170628,
  author="Thomas {Kropfreiter} and Florian {Meyer} and Franz {Hlawatsch}",
  title="A Fast Labeled Multi-Bernoulli Filter Using Belief Propagation",
  journal="IEEE Transactions on Aerospace and Electronic Systems",
  year="2019",
  volume="56",
  number="3",
  pages="2478--2488",
  doi="10.1109/TAES.2019.2941104",
  issn="0018-9251",
  url="https://ieeexplore-ieee-org.ezproxy.lib.vutbr.cz/document/8836103"
}