Results 31 to 40 of about 1,972,345 (231)
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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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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A Data Association Algorithm for Multiple Object Tracking in Video Sequences [PDF]
, 2006 This paper presents a particle filtering algorithm for multiple object tracking. The proposed particle filter (PF) embeds a data association technique based on the joint probabilistic data association (JPDA) which handles the uncertainty of the ...
Canagarajah, N. +3 more
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Particle Filter Tracking without Dynamics
Applied Bionics and Biomechanics, 2007 People tracking is an interesting topic in computer vision. It has applications in industrial areas such as surveillance or human-machine interaction.
Jaime Ortegon-Aguilar +1 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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BMC Medical Imaging, 2011 Background Functional and morphological changes of the heart influence blood flow patterns. Therefore, flow patterns may carry diagnostic and prognostic information.
Arheden Håkan +4 more
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Tracking single particles for hours via continuous DNA-mediated fluorophore exchange
Nature Communications, 2021 The length of single-particle tracking experiments are limited due to photobleaching. Here the authors achieve long-term single-particle tracking with continuous fluorophore exchange in DNA-PAINT and use this to observe DNA origami on lipid bilayers for ...
Florian Stehr +6 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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