Results 51 to 60 of about 113,972 (314)

Research on Particle Filter Video Tracking Algorithms

open access: yesJournal 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
doaj   +1 more source

Georges: A modular Python library for seamless beam dynamics simulations and optimization

open access: yesSoftwareX, 2023
Particle tracking codes such as MAD-X or TRANSPORT commonly use a matrix formalism to propagate beams through magnetic elements as it simplifies the analysis of particle behavior, facilitates beam optimization and component design, and enables accurate ...
Robin Tesse   +5 more
doaj   +1 more source

Box-particle intensity filter [PDF]

open access: yes, 2012
This paper develops a novel approach for multi-target tracking, called box-particle intensity filter (box-iFilter). The approach is able to cope with unknown clutter, false alarms and estimates the unknown number of targets. Furthermore, it is capable of
Gning, Amadou   +11 more
core   +1 more source

Refining particle positions using circular symmetry. [PDF]

open access: yesPLoS 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
doaj   +1 more source

Visual tracking of multiple interacting objects through Rao-Blackwellized data association particle filtering

open access: yes, 2010
A multiple object visual tracking framework is presented, which is able to manage complex object interactions, missing detections and clutter. The main contribution is the ability to deal with complex situations in which the interacting objects can ...
Narciso Garcia   +5 more
core   +1 more source

Particle Filter Tracking without Dynamics

open access: yesApplied 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
doaj   +1 more source

Volume Tracking: A new method for quantitative assessment and visualization of intracardiac blood flow from three-dimensional, time-resolved, three-component magnetic resonance velocity mapping

open access: yesBMC 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
doaj   +1 more source

Tracking single particles for hours via continuous DNA-mediated fluorophore exchange

open access: yesNature 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
doaj   +1 more source

Protein pyrophosphorylation by inositol pyrophosphates — detection, function, and regulation

open access: yesFEBS Letters, EarlyView.
Protein pyrophosphorylation is an unusual signaling mechanism that was discovered two decades ago. It can be driven by inositol pyrophosphate messengers and influences various cellular processes. Herein, we summarize the research progress and challenges of this field, covering pathways found to be regulated by this posttranslational modification as ...
Sarah Lampe   +3 more
wiley   +1 more source

Improved proposal distribution with gradient measures for tracking [PDF]

open access: yes, 2005
Particle filters have become a useful tool for the task of object tracking due to their applicability to a wide range of situations. To be able to obtain an accurate estimate from a particle filter a large number of particles is usually necessary.
D. Bull   +11 more
core   +1 more source

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