JZUS - Journal of Zhejiang University SCIENCE

Frontiers of Information Technology & Electronic Engineering

Accepted manuscript available online (unedited version)

Distributedmulti-target tracking with labeled multi-Bernoulli filter considering efficient label matching

Author(s): Changwen DING, Chuntao SHAO, Siteng ZHOU, Di ZHOU?1, Runle DU, Jiaqi LI
Affiliation(s): School of Astronautics, Harbin Institute of Technology, Harbin 150001, China; more
Corresponding email(s): dcwhit@163.com, shaw@hit.edu.com, 8201880104@stu.hit.edu.cn, zhoud@hit.edu.com, jenniferdu@126.com, ljq006@vip.sina.com
Key Words: Distributed multi-sensor multi-target tracking; Labeled multi-Bernoulli filter; Arithmetic average fusion; Label matching

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Changwen DING, Chuntao SHAO, Siteng ZHOU, Di ZHOU?1, Runle DU, Jiaqi LI. Distributedmulti-target tracking with labeled multi-Bernoulli filter considering efficient label matching[J]. Frontiers of Information Technology & Electronic Engineering,in press.https://doi.org/10.1631/FITEE.2400582

@article{title="Distributedmulti-target tracking with labeled multi-Bernoulli filter considering efficient label matching",
author="Changwen DING, Chuntao SHAO, Siteng ZHOU, Di ZHOU?1, Runle DU, Jiaqi LI",
journal="Frontiers of Information Technology & Electronic Engineering",
year="in press",
publisher="Zhejiang University Press & Springer",
doi="https://doi.org/10.1631/FITEE.2400582"
}

%0 Journal Article
%T Distributedmulti-target tracking with labeled multi-Bernoulli filter considering efficient label matching
%A Changwen DING
%A Chuntao SHAO
%A Siteng ZHOU
%A Di ZHOU?1
%A Runle DU
%A Jiaqi LI
%J Frontiers of Information Technology & Electronic Engineering
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%@ 2095-9184
%D in press
%I Zhejiang University Press & Springer
doi="https://doi.org/10.1631/FITEE.2400582"

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T1 - Distributedmulti-target tracking with labeled multi-Bernoulli filter considering efficient label matching
A1 - Changwen DING
A1 - Chuntao SHAO
A1 - Siteng ZHOU
A1 - Di ZHOU?1
A1 - Runle DU
A1 - Jiaqi LI
J0 - Frontiers of Information Technology & Electronic Engineering
SP -
EP -
%@ 2095-9184
Y1 - in press
PB - Zhejiang University Press & Springer
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doi="https://doi.org/10.1631/FITEE.2400582"

Abstract
Chinese Summary
Academic Network
Reviewer Comment

Abstract: We proposed a distributed labeled multi-Bernoulli (LMB) filter based on an efficient label matching method. Conventional distributed LMB filter fusion has the premise that the labels among local densities have already been matched. However, considering that the label space of each local posterior is independent, such a premise is not practical in many applications. To achieve the distributed fusion practically, we proposed an efficient label matching method derived from the divergence of arithmetic average (AA) mechanism, and subsequently, the label-wise LMB fusion is performed according to the matching result. Compared with the existing label matching methods, this proposed method shows higher performance, especially in low detection probability scenarios. Moreover, to guarantee the consistency and completeness of the fusion outcome, the overall fusion procedure is designed into the following four stages: pre-fusion, label determination, posterior complement, and uniqueness check stages. The performance of the proposed label matching distributed LMB fusion is demonstrated in a challenging nonlinear bearings-only multi-target tracking (MTT) scenario.

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