Results 191 to 200 of about 513,541 (222)

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

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

OTHR multipath tracking using the bernoulli filter

IEEE Transactions on Aerospace and Electronic Systems, 2014
A multipath target tracking and recognition algorithm is proposed for an over-the-horizon radar (OTHR) tracking system in the presence of detection uncertainty and clutter. This algorithm, multipath Bernoulli filter (MPBF), uses a generalization of the Bernoulli filter for joint detection and tracking of a single target.
Jinfeng Chen, Hong Ma, Cheng-Guo Liang, Yufeng Zhang   +3 more
openaire   +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

A Tutorial on Bernoulli Filters: Theory, Implementation and Applications

IEEE Transactions on Signal Processing, 2013
Bernoulli filters are a class of exact Bayesian filters for non-linear/non-Gaussian recursive estimation of dynamic systems, recently emerged from the random set theoretical framework. The common feature of Bernoulli filters is that they are designed for stochastic dynamic systems which randomly switch on and off.
Branko Ristic 0001, Ba-Tuong Vo, Ba-Ngu Vo, Alfonso Farina   +3 more
openaire   +3 more sources

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

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

Log-domain filtering and the Bernoulli cell

IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications, 1999
In this paper, the dynamic behavior of a nonlinear circuit element termed a Bernoulli cell is described, which is composed of a suitably biased bipolar junction transistor (BJT) and an emitter connected grounded capacitor. This cell has application in the synthesis of log-domain filters, since it facilitates the development of a low-level design ...
E.M. Drakakis, A.J. Payne, C. Toumazou
openaire   +1 more source

Multi-Sensor Joint Detection and Tracking with the Bernoulli Filter

IEEE Transactions on Aerospace and Electronic Systems, 2012
This paper proposes a filter for joint detection and tracking of a single target using measurements from multiple sensors under the presence of detection uncertainty and clutter. To capture the target presence/absence in the surveillance region as well as its kinematic state, we represent the target state as a set that can take on either the empty set ...
Ba-Tuong Vo, Chong Meng Samson See, Ning Ma, Wee Teck Ng   +3 more
openaire   +3 more sources

Multiple Model Multi-Bernoulli Filters for Manoeuvering Targets

IEEE Transactions on Aerospace and Electronic Systems, 2013
The cardinality balanced multitarget multi-Bernoulli (CBMeMBer) filter is a recursive, multitarget tracking mechanism based on the random finite set (RFS) theory using the finite set statistics (FISST) framework. It provides an estimate of the number of targets in a given scenario space, along with the most likely locations of those targets.
Darcy Dunne, Thia Kirubarajan
openaire   +1 more source