Results 41 to 50 of about 113,972 (314)
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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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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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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Sequential Monte Carlo tracking by fusing multiple cues in video sequences [PDF]
, 2007 This paper presents visual cues for object tracking in video sequences using particle filtering. A consistent histogram-based framework is developed for the analysis of colour, edge and texture cues.
Mihaylova, L +5 more
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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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