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Magnetic particle tracking: A semi-algebraic solution
Chemical Engineering Science, 2023 Magnetic Particle Tracking (MPT) is a relatively new non-invasive measurement technique which is often used to study dense granular flow. Its basic principle relies on tracking the movement of a single magnetic tracer by means of measuring the magnetic field strength at a suitable distance from the tracer. By assumption of a magnetic dipole and the use
Buist, K. A. (author) +1 more
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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
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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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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
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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
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Four-dimensional multi-particle tracking in living cells based on lifetime imaging
Nanophotonics, 2022 Research on dynamic events in living cells, such as intracellular transportation, is important for understanding cell functions. As movements occur within cells, the microenvironment of the moving vesicles or biomacromolecules may affect the behavior of ...
Chen Danni, Li Heng, Yu Bin, Qu Junle
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Optimal tracking of a Brownian particle
Optics Express, 2012 Optical tracking of a fluorescent particle in solution faces fundamental constraints due to Brownian motion, diffraction, and photon shot noise. Background photons and imperfect tracking apparatus further degrade tracking precision. Here we use a model of particle motion to combine information from multiple time-points to improve the localization ...
Alexander P, Fields, Adam E, Cohen
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Trajectory data of antero- and retrograde movement of mitochondria in living zebrafish larvae
Data in Brief, 2020 Recently, a large number of single particle tracking (SPT) approaches have been developed. Generally, SPT techniques can be split into two groups: ex post facto approaches where trajectory extraction is carried out after data acquisition and feedback ...
Frank Mieskes +5 more
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Refining particle positions using circular symmetry. [PDF]
PLoS ONE, 2017 Particle and object tracking is gaining attention in industrial applications and is commonly applied in: colloidal, biophysical, ecological, and micro-fluidic research.
Alvaro Rodriguez +6 more
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