Results 41 to 50 of about 355 (164)

A CPHD approximation based on a discrete-Gamma cardinality model [PDF]

, 2019
The cardinalized probability hypothesis density (CPHD) filter has become one of the most acclaimed algorithms for multi-Target Bayesian filtering due to its ability to accurately estimate the number of objects and the object states in tracking scenarios ...
De Melo, Flavio Eler, Maskell, S, De Melo, flavio, Maskell, Simon   +3 more
core   +1 more source

Multiple‐Model Trajectory PMBM Filter for Tracking Manoeuvring Extended Targets

IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.
This paper introduces the multiple‐model extended target trajectory PMBM (MM‐ET‐TPMBM) filter, a unified Bayesian framework for tracking multiple manoeuvring targets with spatial extent. By integrating trajectory estimation with a jump Markov system and gamma Gaussian inverse‐Wishart (GGIW) implementation, the filter simultaneously handles complex ...
Ibrahim Salim, Nermeen Okasha, Wagdy Anis   +2 more
wiley   +1 more source

Measurement‐Driven Group Target Poisson Multi‐Bernoulli Mixture Filter With Adaptive Birth

IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.
The study introduces an innovative PMBM framework that incorporates measurement‐driven adaptive birth intensity utilising each measurement frame to adaptively estimate the birth target state. Notably, our parameter estimation method for the gamma Gaussian inverse‐Wishart (GGIW) distribution characterises the birth target state using conditional ...
Chao Xiong, Moufa Hu, Huanzhang Lu, Fei Zhao   +3 more
wiley   +1 more source

Compound Heterozygous Variants in the Phospholipase Gene PNPLA6 Cause Hypopituitarism and Vision Loss

Human Mutation, Volume 2026, Issue 1, 2026.
PNPLA6 is a conserved lysophospholipase essential for maintaining nervous system integrity. Biallelic mutations in PNPLA6 have been identified in individuals with a broad spectrum of disorders that can include ataxia, vision loss, and pituitary hormone deficiency.
Sebastian Vishnopolska, James Liu, Maria Andrea Camilletti, Julian Martinez Mayer, Lucia Iglesias Garcia, Michelle Brinkmeier, Elisa Vaiani, Sofia Hebe Vidal, Marta Ciaccio, María Isabel Di Palma, Alicia Belgorosky, Marcelo Marti, Robert B. Hufnagel, Sally A. Camper, Maria Ines Perez-Millan, Elfride De Baere   +15 more
wiley   +1 more source

Robust Student’s T Distribution Based PHD/CPHD Filter for Multiple Targets Tracking Using Variational Bayesian Approach [PDF]

Radioengineering, 2020
Measurement-outliers caused by non-linear observation model or random disturbance will lead to the accuracy decline of a target tracking filter. This paper proposes a robust probability hypothesis density (PHD) filter to handle the measurement-outlier ...
P. Li, C. Xu, W. Wang, S. Su
doaj  

Spawning Models for the CPHD Filter

, 2015
In its classical form, the Cardinalized Probability Hypothesis Density (CPHD) filter does not model the appearance of new targets through spawning, yet there are applications for which spawning models more appropriately account for newborn objects when compared to spontaneous birth models.
Bryant, Daniel S., Delande, Emmanuel D., Gehly, Steven, Houssineau, Jeremie, Clark, Daniel E., Jones, Brandon A.   +5 more
openaire   +2 more sources

Generalized Labeled Multi-Bernoulli Extended Target Tracking Based on Gaussian Process Regression

MATEC Web of Conferences, 2018
For the problems that Gamma Gaussian Inverse Wishart Cardinalized Probability Hypothesis Density (GGIW-CPHD) filter cannot accurately estimate the extended target shape and has a bad tracking performance under the condition of low SNR, a new generalized ...
Chi Luo-jia, Feng Xin-xi, Miao Lu
doaj   +1 more source

Monitoring Bridge Vibrations via Spaceborne SAR Micro‐Doppler

Structural Control and Health Monitoring, Volume 2026, Issue 1, 2026.
The advent of Synthetic Aperture Radar (SAR) imaging has presented the possibility of remote monitoring of civil infrastructure on a large scale. Although well established for observing slow and long‐term phenomena, its application to vibration‐based structural health monitoring (SHM) remains relatively unexplored in the current literature.
Alessandro Lotti, Aleksanteri B. Vattulainen, Sebastian Diaz Riofrio, Chiara Suppi, Enrico Tubaldi, Daniele Zonta, Pietro Milillo, Carmine Clemente, Lukasz Jankowski   +8 more
wiley   +1 more source

"Spooky action at a distance" in the cardinalized probability hypothesis density filter

, 2022
S.1657-1664The cardinalized probability hypothesis density (CPHD) filter is a recursive Bayesian algorithm for estimating multiple target states with varying target number in clutter.
Franken, D., Schmidt, M., Ulmke, M.
core   +1 more source

Vardiational Bayesian Hybrid Multi-Bernoulli and CPHD Filters for Superpositional Sensors

, 2023
This paper addresses the problem of multi-target tracking with superpositional sensors, while the covariance matrices of measurement noise are not known.
Wanchun Li, Wenjie Xu, Gaiyou Li, Huaguo Zhang   +3 more
core   +1 more source