Results 11 to 20 of about 30,144 (206)
δ-GLMB filter based on DI in a clutter [PDF]
The Journal of Engineering, 2019 For the problem that the performance of existing multi-target tracking algorithm's serious degrades in a dense clutter environment, a novel Doppler information assistant δ-generalised labelled multi-Bernoulli (DI-δ-GLMB) filter is proposed.
Hua-fu Peng +3 more
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Gaussian implementation of the multi-Bernoulli mixture filter [PDF]
2019 22th International Conference on Information Fusion (FUSION), 2019 This paper presents the Gaussian implementation of the multi-Bernoulli mixture (MBM) filter. The MBM filter provides the filtering (multi-target) density for the standard dynamic and radar measurement models when the birth model is multi-Bernoulli or multi-Bernoulli mixture.
Ángel F. García-Fernández +4 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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Bernoulli merging for the Poisson multi-Bernoulli mixture filter [PDF]
2020 IEEE 23rd International Conference on Information Fusion (FUSION), 2020 Under the standard multiple target tracking models and a Poisson point process birth model, the Poisson multi-Bernoulli mixture (PMBM) filter provides the closed-form recursion to computing the posterior density over the set of targets. Without approximations, the PMBM computational complexity rapidly rises in time due to the increasing number of data ...
Marco Fontana +2 more
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The Product Multi-Sensor Labeled Multi-Bernoulli Filter
2023 26th International Conference on Information Fusion (FUSION), 2023 The main challenge in random finite set-based multi-sensor multi-object tracking is the NP-hard association of the sensor measurements with the tracks.
Martin Herrmann +3 more
openaire +3 more sources
Multi-Scan Generalized Labeled Multi-Bernoulli Filter
2018 21st International Conference on Information Fusion (FUSION), 2018 This paper extends the generalized labeled multi-Bernoulli (GLMB) tracking filter to a batch multi-target tracker. In a labeled random finite set formulation, a multi-target tracking filter propagates the labeled multi-target filtering density while a batch multi-target tracker propagates the labeled multi-target posterior density.
Ba-Tuong Vo, Ba-Ngu Vo
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Robust multi-sensor generalized labeled multi-Bernoulli filter [PDF]
Signal Processing, 2022 This paper proposes an efficient and robust algorithm to estimate target trajectories with unknown target detection profiles and clutter rates using measurements from multiple sensors. In particular, we propose to combine the multi-sensor Generalized Labeled Multi-Bernoulli (MS-GLMB) filter to estimate target trajectories and robust Cardinalized ...
Cong-Thanh Do +2 more
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Dual‐labelled multi‐Bernoulli filter based on specific emitter identification
IET Radar, Sonar & NavigationIn complex electromagnetic environments, airborne passive bistatic radar encounters the challenge of associating emitters with measurements for multi‐target tracking.
Xin Guan, Yu Lu
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Extended Target Marginal Distribution Poisson Multi-Bernoulli Mixture Filter
Sensors, 2020 The existence of clutter, unknown measurement sources, unknown number of targets, and undetected probability are problems for multi-extended target tracking, to address these problems; this paper proposes a gamma-Gaussian-inverse Wishart (GGIW ...
Haocui Du, Weixin Xie
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Distributed Implementation of the Centralized Generalized Labeled Multi-Bernoulli Filter [PDF]
IEEE Transactions on Signal Processing, 2021 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Martin Herrmann +2 more
openaire +3 more sources