Results 61 to 70 of about 355 (164)

A CPHD filter for tracking with spawning models - including a FISST based derivation

, 2013
In some applications of multi-target tracking, appearing targets are suitably modeled as spawning from existing targets. However, in the original formulation of the cardinalized probability hypothesis density (CPHD) filter, this type of model is not ...
Svensson, Lennart, Lundgren, Malin, Hammarstrand, Lars   +2 more
core   +1 more source

A Labeled Multi‐Bernoulli Filter Based on Maximum Likelihood Recursive Updating

IET Signal Processing, Volume 2024, Issue 1, 2024.
A labeled multi‐Bernoulli filter is used to obtain estimates of the identities and states of targets in complex environments. However, when tracking multiple targets in dense clutters, the computational complexity of the traditional labeled multi‐Bernoulli filter will increase exponentially. A labeled multi‐Bernoulli tracking algorithm based on maximum
Yuhan Song, Han Shen-Tu, Junhao Lin, Yizhen Wei, Yunfei Guo, Gordana Jovanovic Dolecek   +5 more
wiley   +1 more source

Measurement‐Driven Iterated Correction GM‐PHD Filter for Passive Tracking With Hardware‐in‐the‐Loop Simulation

International Journal of Aerospace Engineering, Volume 2024, Issue 1, 2024.
Considering the characteristics of Multi Aircraft Attack and Defense (MAVAD), the problem of multisensor multitarget passive tracking is researched in this article. Firstly, to solve the problem posed by incomplete or unknown knowledge about the intensity of the target’s newborns, a practical measurement–driven method of adaptive generating newborn ...
Runle Du, Jizhe Wang, Di Zhou, Xinguang Zou, Jiaqi Liu, Tuo Han   +5 more
wiley   +1 more source

Ground moving target tracking using signal strength measurements with the GM-CPHD filter

, 2022
S.37-42In ground target tracking based on kinematic measurements by airborne radar, several challenges in general strongly deteriorate the performance of any standard tracking filter. The major challenges are imprecise measurements and missed detections,
Ulmke, M., Mertens, M.
core   +1 more source

A second-order PHD filter with mean and variance in target number [PDF]

, 2018
International audienceThe Probability Hypothesis Density (PHD) and Cardinalized PHD (CPHD) filters are popular solutions to the multi-target tracking problem due to their low complexity and ability to estimate the number and states of targets in ...
Clark, Daniel E., Houssineau, Jérémie, Delande, Emmanuel, Clark, Daniel, Daniel E. Clark, Jeremie Houssineau, Clark, Daniel, E, Schlangen, Isabel, Delande, Emmanuel D., Emmanuel D. Delande, Isabel Schlangen   +10 more
core   +1 more source

Comparisons of PHD Filter and CPHD Filter for Space Object Tracking

, 2014
The Probability Hypothesis Density (PHD) filter and the Cardinalized PHD (CPHD) filter are two computationally tractable approximate Bayesian multiobject filters within the Finite Set Statistics framework. The PHD filter estimates the intensity function;
Früh, Carolin, Cheng, Yang, DeMars, Kyle J.   +2 more
core  

Probability hypothesis density filtering for real-time traffic state estimation and prediction [PDF]

, 2013
The probability hypothesis density (PHD) methodology is widely used by the research community for the purposes of multiple object tracking. This problem consists in the recursive state estimation of several targets by using the information coming from an
El Faouzi, Nour Eddin, Mihaylova, Lyudmila, Canaud, M., Faouzi, Nour-Eddin El, Sau, Jacques, Canaud, Matthieu, El Faouzi, Nour-Eddin, Mihaylova, L., Sau, J., El Faouzi, N.E.   +9 more
core   +1 more source

Background agnostic CPHD tracking of dim targets in heavy clutter

, 2013
Detection and tracking of dim targets in heavy clutter environments is a daunting theoretical and practical problem. Application of the recently developed Background Agnostic Cardinalized Probability Hypothesis Density (BA-CPHD) filter provides a very ...
Adel I. El-Fallah, Raman K. Mehra, El-Fallah, A., Mehra, R., Pereira, W., Zatezalo, A., Aleksandar Zatezalo, Wellesley E. Pereira, Mahler, Ronald, Ronald P. S. Mahler   +9 more
core   +1 more source

A tracker based on a CPHD filter approach for Infrared applications

, 2011
Since the derivation of PHD filter, a number of track management schemes have been proposed to adapt the PHD filter for determining the tracks of multiple objects. Nevertheless, the problem remains that such approaches can fail when targets are too close
Y Petetin (19998999), D Clark (7772132), Branko Ristic (18027319), D Maltese (19999002)   +3 more
core  

CPHD filter derivation for extended targets

, 2010
This document derives the CPHD filter for extended targets. Only the update step is derived here. Target generated measurements, false alarms and prior are all assumed to be independent identically distributed cluster processes. We also prove here that the derived CPHD filter for extended targets reduce to PHD filter for extended targets and CPHD ...
openaire   +2 more sources