Results 161 to 170 of about 3,081,373 (191)

The Spline Multi-Target Multi-Bernoulli Filter

2020 IEEE 23rd International Conference on Information Fusion (FUSION), 2020
A B-Spline implementation of the multi-target multi-Bernoulli (MeMBer) filter for nonlinear Gaussian/non-Gaussian models is proposed. Specifically, the spatial PDF (SPDF) of each Bernoulli component in the MeMBer density is represented by a B-Spline curve, which is characterized by the spline knots and control points.
Yiqi Chen, Ping Wei 0002, Gaiyou Li, Lin Gao 0003, Yuansheng Li   +4 more
openaire   +1 more source

The histogram Poisson, labeled multi-Bernoulli multi-target tracking filter [PDF]

Signal Processing, 2020
A Random Finite Set (RFS) based multi-target filter is proposed, which utilizes a labeled Multi-Bernoulli distribution to model the multi-target state, together with a Poisson RFS distribution to model target birth.
M D Adams, Claudio A Perez, Leonardo Cament   +2 more
exaly   +2 more sources

On the Labeled Multi-Bernoulli Filter with Merged Measurements

ICC 2020 - 2020 IEEE International Conference on Communications (ICC), 2020
In this work, we propose a Labeled Multi-Bernoulli (LMB) filter for multi-object tracking with a merged measurement model. The finite resolution capabilities of practical sensing systems can lead to scenarios where multiple objects interact and generate merged measurements.
Augustin-Alexandru Saucan, Moe Z. Win
openaire   +2 more sources

The Labeled Multi-Bernoulli SLAM Filter

IEEE Signal Processing Letters, 2015
In this contribution, a new algorithm addressing the simultaneous localization and mapping (SLAM) problem is proposed: a Rao-Blackwellized implementation of the Labeled Multi-Bernoulli SLAM (LMB-SLAM) filter. Further, we establish that the LMB-SLAM does not require the approximations used in Probability Hypothesis Density SLAM (PHD-SLAM).
Hendrik Deusch, Stephan Reuter, Klaus Dietmayer   +2 more
openaire   +1 more source

Multipath Generalized Labeled Multi-Bernoulli Filter

2018 21st International Conference on Information Fusion (FUSION), 2018
Traditional multitarget tracking algorithms assume that each target can generate at most one detection per scan. However, in the over-the-horizon radar (OTHR), a target may produce multiple detections because of multipath propagation. In this paper, we propose a new algorithm, called multipath generalized labeled multi-Bernoulli (MP-GLMB) filter, to ...
Bin Yang, Jun Wang 0041, Wenguang Wang, Shaoming Wei   +3 more
openaire   +2 more sources

Information Exchange Track-Before-Detect Multi-Bernoulli Filter for Superpositional Sensors [PDF]

IEEE Transactions on Signal Processing
In this paper we derive the Information Exchange track-before-detect Multi-Bernoulli (IEMB) filter for multi-target filtering with superpositional sensors.
Angel F García-Fernández, Elinor Davies   +1 more
exaly   +2 more sources

Robust multi-Bernoulli filtering for visual tracking

The 2014 International Conference on Control, Automation and Information Sciences (ICCAIS 2014), 2014
To achieve reliable multi-object filtering in vision application, it is of great importance to determine appropriate model parameters. Parameters such as motion and measurement noise covariance can be chosen based on the image frame rate and the property of the designed detector. However, it is not trivial to obtain the average number of false positive
Du Yong Kim, Moongu Jeon
openaire   +2 more sources

Gating technique for the Gaussian mixture multi-Bernoulli filter

2014 American Control Conference, 2014
The multi-Bernoulli (MB) filter is a new attractive approach for multi-target filtering in the presence of clutter and detection uncertainty. However, the computational complexity grows as clutter density increases. The clutter measurements may also degrade the filtering accuracy.
Tong-yang Jiang, Meiqin Liu 0001, Senlin Zhang, Weihua Sheng   +3 more
openaire   +2 more sources

On multiple-model extended target multi-Bernoulli filters

Digital Signal Processing, 2016
Abstract In this paper, we propose a multiple-model (MM) version of the extended target multi-Bernoulli (ET-MB) filter for estimating multiple maneuvering extended targets. A Gaussian mixture (GM) implementation of the MM-ET-MB filter for linear Gaussian models and a sequential Monte Carlo (SMC) implementation of the MM-ET-MB filter for nonlinear ...
Tong-yang Jiang, Meiqin Liu 0001, Zhen Fan 0001, Senlin Zhang   +3 more
openaire   +1 more source

Hybrid multi-Bernoulli and CPHD filters for superpositional sensors

IEEE Transactions on Aerospace and Electronic Systems, 2015
In this paper we present an approximate multi-Bernoulli filter and an approximate hybrid multi-Bernoulli cardinalized probability hypothesis density filter for superpositional sensors. The approximate-filter equations are derived by assuming that the predicted and posterior multitarget states have the same form and propagating the probability ...
Santosh Nannuru, Mark Coates
openaire   +1 more source