Markerless human motion tracking using hierarchical multi-swarm cooperative particle swarm optimization. [PDF]
PLoS ONE, 2015 The high-dimensional search space involved in markerless full-body articulated human motion tracking from multiple-views video sequences has led to a number of solutions based on metaheuristics, the most recent form of which is Particle Swarm ...
Sanjay Saini +3 more
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Particle tracking in the ILC extraction lines with DIMAD and BDSIM [PDF]
, 2005 The study of beam transport is of central importance to the design and performance assessment of modern particle accelerators. In this paper, we benchmark two contemporary codes, DIMAD and BDSIM, the latter being a relatively new tracking code built ...
Appleby, R. +3 more
core +3 more sources
Particle Filter Design Using Importance Sampling for Acoustic Source Localisation and Tracking in Reverberant Environments [PDF]
, 2006 Sequential Monte Carlo methods have been recently proposed to deal with the problem of acoustic source localisation and tracking using an array of microphones.
Lehmann, Eric A, Williamson, Robert C
core +2 more sources
Combining Particle Filter and Population-based Metaheuristics for Visual Articulated Motion Tracking
ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2005 Visual tracking of articulated motion is a complex task with high computational costs. Because of the fact that articulated objects are usually represented as a set of linked limbs, tracking is performed with the support of a model.
Juan Jose Pantrigo +3 more
doaj +1 more source
Computational localization microscopy with extended axial range [PDF]
, 2018 A new single-aperture 3D particle-localization and tracking technique is presented that demonstrates an increase in depth range by more than an order of magnitude without compromising optical resolution and throughput. We exploit the extended depth range
Carles Santacana, Guillem +3 more
core +1 more source
Improved Interacting Multiple Model Particle Filter Algorithm [PDF]
Xibei Gongye Daxue Xuebao, 2018 For the issue of limited filtering accuracy of interactive multiple model particle filter algorithm caused by the resampling particles don't contain the latest observation information, we made improvements on interactive multiple model particle filter ...
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Tracking shocked dust: state estimation for a complex plasma during a shock wave
, 2011 We consider a two-dimensional complex (dusty) plasma crystal excited by an electrostatically-induced shock wave. Dust particle kinematics in such a system are usually determined using particle tracking velocimetry.
Durniak, Céline +3 more
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FluidsParticle image velocimetry and particle tracking velocimetry (PTV) have developed from two-dimensional two-component (2D2C) velocity vector measurements to 3D3C measurements.
Mao Takeyama +2 more
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Confidence-Level-Based New Adaptive Particle Filter for Nonlinear Object Tracking
International Journal of Advanced Robotic Systems, 2012 Nonlinear object tracking from noisy measurements is a basic skill and a challenging task of mobile robotics, especially under dynamic environments. The particle filter is a useful tool for nonlinear object tracking with non-Gaussian noise.
Xiaoyong Zhang +3 more
doaj +1 more source
An improved quantum particle swarm photovoltaic multi‐peak mPPT method combined with Lévy flight
Energy Science & Engineering, 2020 Inertial weight adaptive quantum particle swarm optimization (DCWQPSO) algorithm can effectively improve the problem of particle falling into local extreme value.
Lei Chen +3 more
doaj +1 more source