Results 11 to 20 of about 4,872,758 (330)
Robust single particle tracking in live cell time-lapse sequences
Nature Methods, 2008 Single-particle tracking (SPT) is often the rate-limiting step in live-cell imaging studies of subcellular dynamics. Here we present a tracking algorithm that addresses the principal challenges of SPT, namely high particle density, particle motion ...
K. Jaqaman +6 more
semanticscholar +3 more sources
Correlation Particle Filter for Visual Tracking
IEEE Transactions on Image Processing, 2018 In this paper, we propose a novel correlation particle filter (CPF) for robust visual tracking. Instead of a simple combination of a correlation filter and a particle filter, we exploit and complement the strength of each one. Compared with existing tracking methods based on correlation filters and particle filters, the proposed tracker has four major ...
Tianzhu Zhang +4 more
openaire +4 more sources
A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking
IEEE Transactions on Signal Processing, 2002 M. Arulampalam +3 more
semanticscholar +3 more sources
3D Lagrangian Particle Tracking in Fluid Mechanics
Annual Review of Fluid Mechanics, 2022 In the past few decades various particle image–based volumetric flow measurement techniques have been developed that have demonstrated their potential in accessing unsteady flow properties quantitatively in various experimental applications in fluid ...
A. Schröder, D. Schanz
semanticscholar +1 more source
IEEE Access, 2022 Flashover at gas/insulator interface acts as a vital challenge to the safe and stable operation of gas-insulated system especially when involved with surface metallic particle.
Xiaolong Li, Chen Cao, Xin Lin
doaj +1 more source
ML Track Fitting in Nuclear Physics [PDF]
EPJ Web of Conferences, 2020 Charged particle tracking represents the largest consumer of CPU resources in high data volume Nuclear Physics (NP) experiments. An effort is underway to develop machine learning (ML) networks that will reduce the resources required for charged particle ...
Britton Thomas +2 more
doaj +1 more source
Advanced iterative particle reconstruction for Lagrangian particle tracking
Experiments in Fluids, 2021 The method of iterative particle reconstruction (IPR), introduced by Wieneke (Meas Sci Technol 24:024008, 2013), constitutes a major step toward Lagrangian particle tracking in densely seeded flows (Schanz et al. in Exp Fluids 57:1–27, 2016).
T. Jahn, D. Schanz, A. Schröder
semanticscholar +1 more source
A Genetic Optimization Resampling Based Particle Filtering Algorithm for Indoor Target Tracking
Remote Sensing, 2021 In indoor target tracking based on wireless sensor networks, the particle filtering algorithm has been widely used because of its outstanding performance in coping with highly non-linear problems.
Ning Zhou +3 more
doaj +1 more source
Main results of the first Lagrangian Particle Tracking Challenge
14th International Symposium on Particle Image Velocimetry, 2021 This work presents the main results of the first Lagrangian Particle Tracking challenge, conducted within the framework of the European Union’s Horizon 2020 project HOMER (Holistic Optical Metrology for Aero-Elastic Research), grant agreement number ...
A. Sciacchitano +2 more
semanticscholar +1 more source