Results 11 to 20 of about 4,346 (236)
A Generalized Labeled Multi-Bernoulli Filter With Object Spawning [PDF]
IEEE Transactions on Signal Processing, 2018 Previous labeled random finite set filter developments use a motion model that only accounts for survival and birth. While such a model provides the means for a multi-object tracking filter such as the Generalized Labeled Multi-Bernoulli (GLMB) filter to capture object births and deaths in a wide variety of applications, it lacks the capability to ...
Daniel S Bryant +2 more
exaly +5 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 +2 more sources
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 +6 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 +1 more source
Decentralized Poisson Multi-Bernoulli Filtering for Vehicle Tracking [PDF]
IEEE Access, 2020 A decentralized Poisson multi-Bernoulli filter is proposed to track multiple vehicles using multiple high-resolution sensors. Independent filters estimate the vehicles' presence, state, and shape using a Gaussian process extent model; a decentralized ...
Markus Frohle +2 more
doaj +3 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
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
Polish Maritime Research, 2023 Underwater localization and tracking is a challenging problem and Time-of-Arrival and Time-Difference-of-Arrival approaches are commonly used. However, the performance difference between these approaches is not well understood or analysed adequately ...
Gunes Ahmet
doaj +2 more sources
An Efficient Implementation of the Generalized Labeled Multi-Bernoulli Filter [PDF]
IEEE Transactions on Signal Processing, 2017 This paper proposes an efficient implementation of the generalized labeled multi-Bernoulli (GLMB) filter by combining the prediction and update into a single step. In contrast to an earlier implementation that involves separate truncations in the prediction and update steps, the proposed implementation requires only one truncation procedure for each ...
Ba-Ngu Võ, Hung Gia Hoang
exaly +3 more sources
Box-Particle Labeled Multi-Bernoulli Filter for Multiple Extended Target Tracking [PDF]
Radioengineering, 2016 This paper focuses on real-time tracking of multiple extended targets in clutter based on labeled multi-Bernoulli filter. To address this problem, a novel approach is proposed within the recently presented box-particle framework.
M. Li, Z. Lin, W. An, Y. Zhou
doaj +1 more source