Results 11 to 20 of about 568 (133)
Poisson Multi-Bernoulli Mixture Conjugate Prior for Multiple Extended Target Filtering [PDF]
IEEE Transactions on Aerospace and Electronic Systems, 2020 This paper presents a Poisson multi-Bernoulli mixture (PMBM) conjugate prior for multiple extended object filtering. A Poisson point process is used to describe the existence of yet undetected targets, while a multi-Bernoulli mixture describes the distribution of the targets that have been detected. The prediction and update equations are presented for
Karl Granstr̈Om +2 more
exaly +2 more sources
Data-Driven Clustering and Bernoulli Merging for the Poisson Multi-Bernoulli Mixture Filter
IEEE Transactions on Aerospace and Electronic Systems, 2023 17 pages, 11 figures, journal ...
Marco FONTANA +2 more
exaly +3 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, Simon Maskell
exaly +2 more sources
Multiple Model Poisson Multi-Bernoulli Mixture Filter for Maneuvering Targets [PDF]
IEEE Sensors Journal, 2021 The Poisson multi-Bernoulli mixture (PMBM) filter is conjugate prior composed of the union of a Poisson point process (PPP) and a multi-Bernoulli mixture (MBM). Considering that the single model is not enough to guarantee stable tracking performance for maneuvering targets, in this article, a multiple model PMBM (MM-PMBM) filter is proposed to cope ...
Guchong Li, Lingjiang Kong, Wei Yi
exaly +2 more sources
Remote Sensing, 2023 This study provides a solution for multiple group/extended target tracking with an arbitrary shape. Many tracking approaches for extended/group targets have been proposed.
Yi Wang, Xin Chen, Chao Gong, Peng Rao
doaj +3 more sources
Remote Sensing, 2023 A novel Student’s t-based robust Poisson multi-Bernoulli mixture (PMBM) filter is proposed to effectively perform multi-target tracking under heavy-tailed process and measurement noises.
Jiangbo Zhu, Weixin Xie, Zongxiang Liu
doaj +3 more sources
IEEE Transactions on Signal Processing, 2023 This paper shows that the Poisson multi-Bernoulli mixture (PMBM) density is a multi-target conjugate prior for general target-generated measurement distributions and arbitrary clutter distributions. That is, for this multi-target measurement model and the standard multi-target dynamic model with Poisson birth model, the predicted and filtering ...
Angel F García-Fernández +2 more
exaly +3 more sources
Trajectory Poisson Multi-Bernoulli Mixture Filter for Traffic Monitoring Using a Drone
IEEE Transactions on Vehicular TechnologyThis paper proposes a multi-object tracking (MOT) algorithm for traffic monitoring using a drone equipped with optical and thermal cameras. Object detections on the images are obtained using a neural network for each type of camera. The cameras are modelled as direction-of-arrival (DOA) sensors.
Angel F García-Fernández, Jimin Xiao
exaly +3 more sources
Multi-Object Tracking Using Poisson Multi-Bernoulli Mixture Filtering For Autonomous Vehicles [PDF]
ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021 The ability of an autonomous vehicle to perform 3D tracking is essential for safe planing and navigation in cluttered environments. The main challenges for multi-object tracking (MOT) in autonomous driving applications reside in the inherent uncertainties regarding the number of objects, when and where the objects may appear and disappear, and ...
Su Pang, Hayder Radha
openaire +2 more sources
Tracking Multiple Spawning Targets Using Poisson Multi-Bernoulli Mixtures on Sets of Tree Trajectories [PDF]
IEEE Transactions on Signal Processing, 2022 This paper proposes a Poisson multi-Bernoulli mixture (PMBM) filter on the space of sets of tree trajectories for multiple target tracking with spawning targets. A tree trajectory contains all trajectory information of a target and its descendants, which appear due to the spawning process.
Ángel F. García-Fernández +1 more
openaire +2 more sources