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Published in 2021 at "Chinese Journal of Aeronautics"
DOI: 10.1016/j.cja.2020.11.015
Abstract: Abstract In the classical form, the Poisson Multi-Bernoulli Mixture (PMBM) filter uses a PMBM density to describe target birth, surviving, and death, which does not model the appearance of spawned targets. Although such a model…
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Keywords:
filter;
bernoulli mixture;
multi bernoulli;
poisson multi ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3218324
Abstract: Compared with conventional monostatic or bistatic radar, multistatic radar has wider coverage, better performance of localization and higher tracking accuracy. However, the multistatic radar architecture poses challenges to the implementation for multitarget tracking in coping…
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Keywords:
multisource;
member;
multi bernoulli;
multisource multi ... See more keywords
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Published in 2020 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2019.2949976
Abstract: The analysis of the dynamic behavior of cells in time-lapse microscopy sequences requires the development of reliable and automatic tracking methods capable of estimating individual cell states and delineating the lineage trees corresponding to the…
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Keywords:
time;
microscopy;
ant colony;
cell ... See more keywords
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Published in 2023 at "IEEE Transactions on Aerospace and Electronic Systems"
DOI: 10.1109/taes.2022.3200022
Abstract: This article presents a flexible modeling framework for multitarget tracking based on the theory of outer probability measures. The notion of labeled uncertain finite set is introduced and utilized as the basis to derive a…
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Keywords:
multitarget;
labeled multi;
uncertainty;
multitarget tracking ... See more keywords
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Published in 2021 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2021.3107632
Abstract: Distributed scenarios pose a big challenge to tracking and fusion systems. They require the prevention of repeatedly incorporating the same information, which originates from ring closures in the communication path and would affect optimality. Additionally,…
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Keywords:
multi;
generalized labeled;
labeled multi;
multi sensor ... See more keywords
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Published in 2022 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2022.3154227
Abstract: This paper introduces a novel consensus-based labeled multi-Bernoulli (LMB) filter to tackle multi-target tracking (MTT) in a communication resource-sensitive distributed sensor network (DSN). Although consensus-based approaches provide effective tools for distributed fusion and MTT, the…
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Keywords:
consensus;
communication;
consensus based;
labeled multi ... See more keywords
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Published in 2022 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2023.3277220
Abstract: Generalized Labeled Multi-Bernoulli (GLMB) densities arise in a host of multi-object system applications analogous to Gaussians in single-object filtering. However, computing the GLMB filtering density requires solving NP-hard problems. To alleviate this computational bottleneck, we…
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Keywords:
labeled multi;
multi bernoulli;
generalized labeled;
gibbs ... See more keywords