Results 251 to 260 of about 379,955 (296)

Object tracking by supported particles

2014 11th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), 2014
Object tracking is still remains as a challenge to the computer vision community. Several methods have been proposed until now to track. One renowned method to track is particle filter, a probabilistic model that predicts object position based on recursive Bays formula.
Abdullah Nazib, Chi-Min Oh, Chil-Woo Lee
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Particle Tracks and Fission Tracks

1992
A fast charged particle, when passing through an insulating solid, creates a narrow trail of damage along its trajectory. This damage trail persists in the solid after the particle has come to rest and is called a charged particle track or nuclear track. The solid in which the tracks are registered is commonly called the detector.
Günther A. Wagner, Peter Van den Haute
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Wake tracking with particle filter

2013 21st Signal Processing and Communications Applications Conference (SIU), 2013
In the scope of underwater warfare, signature of ship wakes is attractive for its exploitation in ship detection, tracking and classification. Ship wake signature is generally more distinct than the signature of the ship. In this work, particle filter method has been simulated for target tracking using wake echo measurements.
Cagla Onur, Kemal Leblebicioglu 0001
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Touch tracking with a particle filter

Machine Vision and Applications, 2013
We report on a system for multi-touch tracking from linescan cameras using particle filters. We show that a particle filter incorporating a local search element is almost as accurate as an exhaustive search algorithm and is significantly faster as the number of touches increases. The system achieves over 95 % correct tracking with an error tolerance of
Ignas Kukenys, Brendan McCane
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A Vision-Based Particle Tracking Velocimetry

Real-Time Imaging, 2001
Summary: Particle Image Velocimetry (PIV) is a non-intrusive optical technique to measure velocity of flows. It provides the simultaneous visualization of the streamline pattern in unsteady flows and the quantification of the velocity field over the image plane. To reveal the flow motion, the flow is seeded by small scattering particles.
NESI, PAOLO, DE LUCIA, MAURIZIO, ROSSI, FRANCESCA, BALDASSARRE, ANTONIO   +3 more
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Methods for Cell and Particle Tracking

2012
Achieving complete understanding of any living thing inevitably requires thorough analysis of both its anatomic and dynamic properties. Live-cell imaging experiments carried out to this end often produce massive amounts of time-lapse image data containing far more information than can be digested by a human observer.
Meijering, Erik, Dzyubachyk, Oleh, Smal, Ihor   +2 more
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Collaborative particle filters for group tracking

2010 IEEE International Conference on Image Processing, 2010
Tracking groups of people is a highly informative task in surveillance, and it represents a still open and little explored issue. In this paper, we propose a brand new framework for group tracking, that consists in two separate particle filters, one focusing on groups as atomic entities (the multi-group tracker), and the other modeling each individual ...
BAZZANI, Loris, CRISTANI, Marco, MURINO, Vittorio   +2 more
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Volume‐tracking of subgrid particles

International Journal for Numerical Methods in Fluids, 2011
AbstractA new PLIC‐VOF method is proposed to track deformable particles, such as bubbles and liquid droplets, that can be smaller than the grid spacing. The idea is to replace the surface normal (SN) calculation used in the PLIC, by the SN vector obtained from partial differential equations that are solved together with the advection algorithm.
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Tracks of -Particles in Helium

Nature, 1923
IN a recent issue of NATURE (January 27, p. 114). Messrs. Ryan and Harkins have published some photographs of the ionisation tracks of recoiling atoms produced by collision of -particles with air molecules. We have been also engaged in photographing the tracks of -particles from polonium in helium, and have obtained some interesting photographs ...
D. M. BOSE, S. K. GHOSH
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A particle tracking meet

Nature Methods, 2014
A first community experiment comparing the performance of analysis methods for single-particle tracking data declares no winner but reveals valuable information for users and developers.
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