Results 21 to 30 of about 568 (133)
Applied Sciences, 2023 The Poisson multi-Bernoulli Mixture (PMBM) filter, as well as its variants, is a popular and practical multitarget tracking algorithm. There are some pending problems for the standard PMBM filter, such as unknown detection probability, random target ...
Chunfeng Lv +3 more
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Best Fit of Mixture For Distributed Poisson Multi-Bernoulli MixtureFiltering [PDF]
, 2020 The Poisson multi-Bernoulli mixture (PMBM) filter is extended for distributed implementation using a wireless sensor network. At the core of the proposed networking approach, the PMBM posterior is decomposed into two parts corresponding to the undetected and detected targets, respectively.
Tiancheng Li, Kai Da
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An Implementation of the Poisson Multi-Bernoulli Mixture Trajectory Filter via Dual Decomposition [PDF]
2018 21st International Conference on Information Fusion (FUSION), 2018 This paper proposes an efficient implementation of the Poisson multi-Bernoulli mixture (PMBM) trajectory filter. The proposed implementation performs track-oriented N-scan pruning to limit complexity, and uses dual decomposition to solve the involved multi-frame assignment problem.
Yuxuan Xia +3 more
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Robust Poisson Multi-Bernoulli Filter With Unknown Clutter Rate
IEEE Access, 2019 In Bayesian multi-target tracking (MTT), knowledge of clutter intensity is required for effective multi-target state estimation. In this paper, we propose an online multi-target filter that can operate under background with unknown clutter intensity. Our
Weijian Si, Hongfan Zhu, Zhiyu Qu
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A Novel MS-MeMBer Filter for Extended Targets Tracking
IEEE Access, 2020 Conventional multi-sensor multi-target multi-Bernoulli (MS-MeMBer) filters are based on the assumption that each target produces at most one measurement per time step.
Zhiguo Zhang +4 more
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Remote Sensing, 2023 This paper focuses on the problem of joint detection, tracking, and classification (JDTC) for multiple extended objects (EOs) within a Poisson multi-Bernoulli (MB) mixture (PMBM) filter, where an EO is described as an ellipse, and the ellipse is modeled ...
Yuansheng Li +4 more
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Exact Closed-Form Multitarget Bayes Filters
Sensors, 2019 The finite-set statistics (FISST) foundational approach to multitarget tracking and information fusion has inspired work by dozens of research groups in at least 20 nations; and FISST publications have been cited tens of thousands of times.
Ronald Mahler
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Poisson Multi-Bernoulli Mixture Trackers: Continuity Through Random Finite Sets of Trajectories [PDF]
2018 21st International Conference on Information Fusion (FUSION), 2018 The Poisson multi-Bernoulli mixture (PMBM) is an unlabelled multi-target distribution for which the prediction and update are closed. It has a Poisson birth process, and new Bernoulli components are generated on each new measurement as a part of the Bayesian measurement update.
Karl Granström +4 more
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Poisson Multi-Bernoulli Mixtures for Sets of Trajectories
IEEE Transactions on Aerospace and Electronic Systemsaccepted in IEEE Transactions on Aerospace and Electronic Systems. Matlab code of trajectory PMBM filters can be found at https://github.com/Agarciafernandez and https://github.com ...
Karl Granström +4 more
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Poisson Multi-Bernoulli Mixture Filter for Trajectory Measurements
IEEE Transactions on Signal Processing16 pages, 9 figures, journal ...
Marco Fontana +2 more
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