Results 31 to 40 of about 376,222 (244)
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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Propagation of numerical noise in particle-in-cell tracking
, 2015 Particle-in-cell (PIC) is the most used algorithm to perform self-consistent tracking of intense charged particle beams. It is based on depositing macro-particles on a grid, and subsequently solving on it the Poisson equation.
Franchetti, Giuliano, Kesting, Frederik
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Human Head Tracking Based on Particle Swarm Optimization and Genetic Algorithm [PDF]
, 2007 This paper compares particle swarm optimization and a genetic algorithm for perception by a partner robot. The robot requires visual perception to interact with human beings.
Kubota, Naoyuki, Sulistijono, Indra Adji
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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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, 2013 Particle tracking is a key to single-particle-level confocal microscopy observation of colloidal suspensions, emulsions, and granular matter. The conventional tracking method has not been able to provide accurate information on the size of individual ...
Leocmach, Mathieu, Tanaka, Hajime
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Subdiffusive behavior in a trapping potential: mean square displacement and velocity autocorrelation function [PDF]
, 2009 A theoretical framework for analyzing stochastic data from single-particle tracking in complex or viscoelastic materials and under the influence of a trapping potential is presented.
Despósito, M. A., Viñales, A. D.
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Multi-Feature Single Target Robust Tracking Fused with Particle Filter
Sensors, 2022 Aiming at the problems of target model drift or loss of target tracking caused by serious deformation, occlusion, fast motion, and out of view of the target in long-term moving target tracking in complex scenes, this paper presents a robust multi-feature
Caihong Liu +2 more
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IEEE Access, 2018 In order to obtain accurate underwater target tracking results in forward-looking sonar image sequences, an adaptive particle swarm optimization (APSO) algorithm is proposed to track the underwater target.
Xingmei Wang, Guoqiang Wang, Yanxia Wu
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Research on Particle Filter Video Tracking Algorithms
Journal of Harbin University of Science and Technology, 2020 Aiming at the problem of insufficient robustness of moving target tracking in complex scenes, a particle filter target tracking algorithm based on CNN feature extraction is proposed CNN selflearning mechanism is used to extract highlevel semantic ...
YU Shuchun, TONG Xiaoyu
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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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