Results 11 to 20 of about 3,081,373 (191)
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
core +9 more sources
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
openaire +4 more sources
Extended Target Fast Labeled Multi-Bernoulli Filter [PDF]
Radioengineering, 2023 Focusing on the real-time tracking of the extended target labeled multi-Bernoulli (ET-LMB) filter, this paper proposes an extended target fast labeled multi-Bernoulli (ET-FLMB) filter based on beta gamma box particle (BGBP) and Gaussian process (GP ...
X. Cheng, H. Ji, Y. Zhang
doaj +2 more sources
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
doaj +2 more sources
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
doaj +2 more sources
Efficient approximations of the multi-sensor labelled multi-Bernoulli filter [PDF]
Signal Processing, 2022 In this paper, we propose two efficient, approximate formulations of the multi-sensor labelled multi-Bernoulli (LMB) filter, which both allow the sensors' measurement updates to be computed in parallel. Our first filter is based on the direct mathematical manipulation of the multi-sensor, multi-object Bayes filter's posterior distribution ...
Stuart C. J. Robertson +2 more
openaire +4 more sources
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 +4 more sources
Poisson Multi-Bernoulli Mixture Filter for Trajectory Measurements [PDF]
IEEE Transactions on Signal Processing16 pages, 9 figures, journal ...
Marco Fontana +2 more
openaire +4 more sources
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
openaire +3 more sources
DOA Tracking Based on Unscented Transform Multi-Bernoulli Filter in Impulse Noise Environment [PDF]
Sensors, 2019 Jun Zhao
exaly +2 more sources