Results 21 to 30 of about 4,346 (236)
A Generalized Labeled Multi-Bernoulli Filter for Maneuvering Targets [PDF]
CoRR, 2016 A multiple maneuvering target system can be viewed as a Jump Markov System (JMS) in the sense that the target movement can be modeled using different motion models where the transition between the motion models by a particular target follows a Markov chain probability rule.
Yuthika Punchihewa +2 more
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Poisson Multi-Bernoulli Mixture Filter for Trajectory Measurements [PDF]
IEEE Transactions on Signal Processing16 pages, 9 figures, journal ...
Marco Fontana +2 more
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The best fitting multi-Bernoulli filter [PDF]
2014 IEEE Workshop on Statistical Signal Processing (SSP), 2014 Recent derivations have shown that the full Bayes random finite set filter incorporates a linear combination of multi- Bernoulli distributions. The full filter is intractable as the number of terms in the linear combination grows exponentially with the ...
Williams, J.L., Jason L. Williams
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Multiple-Model Cardinality Balanced Multitarget Multi-Bernoulli Filter for Tracking Maneuvering Targets [PDF]
Journal of Applied Mathematics, 2013 By integrating the cardinality balanced multitarget multi-Bernoulli (CBMeMBer) filter with the interacting multiple models (IMM) algorithm, an MM-CBMeMBer filter is proposed in this paper for tracking multiple maneuvering targets in clutter.
Xianghui Yuan, Feng Lian, Chongzhao Han
doaj +2 more sources
Trajectory Poisson Multi-Bernoulli Filters [PDF]
IEEE Transactions on Signal Processing, 2020 This paper presents two trajectory Poisson multi-Bernoulli (TPMB) filters for multi-target tracking: one to estimate the set of alive trajectories at each time step and another to estimate the set of all trajectories, which includes alive and dead trajectories, at each time step.
Ángel F. García-Fernández +4 more
openaire +3 more sources
Cardinality Balanced Multi-Target Multi-Bernoulli Filter with Error Compensation. [PDF]
Sensors (Basel), 2016 The cardinality balanced multi-target multi-Bernoulli (CBMeMBer) filter developed recently has been proved an effective multi-target tracking (MTT) algorithm based on the random finite set (RFS) theory, and it can jointly estimate the number of targets ...
He X, Liu G.
europepmc +2 more sources
Bayes‐optimal tracking of two statistically correlated targets in general clutter
IET Signal Processing, 2022 The Bernoulli filter is a very general, computationally feasible Bayes‐optimal approach for tracking a single disappearing and reappearing target, using a single sensor whose observations are corrupted by missed detections and a known, general point ...
Ronald Mahler
doaj +1 more source
Box-Particle Cardinality Balanced Multi-Target Multi-Bernoulli Filter
Radioengineering, 2014 As a generalized particle filtering, the box-particle filter (Box-PF) has a potential to process the measurements affected by bounded error of unknown distributions and biases.
L. Song, X. Zhao
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The Fast Product Multi-Sensor Labeled Multi-Bernoulli Filter
, 2023 The multi-sensor Labeled Multi-Bernoulli filter has the challenge of relying on the NP-hard multi-sensor update of the Generalized Labeled Multi-Bernoulli filter.
Herrmann, Martin +4 more
core +1 more source
Bernoulli track‐before‐detect smoothing for maritime radar
IET Radar, Sonar & Navigation, 2022 Detection and tracking of small targets in sea clutter using a high‐resolution radar is a challenging problem as the sea surface constantly moves in a complex manner, with rough seas creating strong target‐like returns. Recently, a Bernoulli track‐before‐
Branko Ristic +3 more
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