نتایج جستجو برای: radioactive particle tracking

تعداد نتایج: 302870  

2006
Joel Falcou Thierry Chateau Jocelyn Sérot Jean-Thierry Lapresté

Particle filtering is a widely used method to solve vision tracking problems. However, to be able to run in real-time on standard architecture, the state vector used in the particle filter must remain small [1]. We propose a parallel implementation of a 3D tracking algorithm operating on a stereo video stream and running in real-time on a cluster architecture. We demonstrate the efficiency of t...

Journal: :Lab on a chip 2012
Rune Barnkob Ida Iranmanesh Martin Wiklund Henrik Bruus

We present a simple and rapid method for measuring the acoustic energy density in microchannel acoustophoresis based on light-intensity measurements of a suspension of particles. The method relies on the assumption that each particle in the suspension undergoes single-particle acoustophoresis. It is validated by the single-particle tracking method, and we show by proper re-scaling that the re-s...

Journal: :Journal of Instrumentation 2021

Abstract A prototype of the CMOS pixel sensor named Supix -1 has been fabricated and tested in order to investigate feasibility a pixelated tracker for proposed Higgs factory, namely, Circular Electron-Positron Collider (CEPC). The sensor, taped out with 180 nm Image Sensor (CIS) process, consists nine different arrays varying pitches, diode sizes geometries study particle detection performance...

2011

General Information Tritium is the only radioactive* isotope of hydrogen and it is commonly represented by the chemical symbol H-3 or 3H. While the most common form of the hydrogen atom has a nucleus consisting of a single proton, tritium’s nucleus is comprised of three particles: two neutrons and a single proton. This configuration makes tritium’s nucleus unstable and tending to undergo a proc...

Journal: :VLSI Signal Processing 2007
Fee-Lee Lim Wilson S. Leoputra Tele Tan

Tracking people across multiple cameras is a challenging research area in visual computing, especially when these cameras have non-overlapping field of views. The important task is to associate a current subject with other prior appearances of the same subject across time and space in a camera network. Several known techniques rely on Bayesian approaches to perform the matching task. However, t...

2005
Kenji Oka Yoichi Sato Yasuto Nakanishi Hideki Koike

In this paper, we propose a new tracking system based on a stochastic filtering framework for reliably estimating the 3D pose of a user’s head in real-time. Our system estimates the pose of a user’s head in each image frame whose 3D model is automatically obtained at an initialization step. In particular, our estimation method is designed to control the diffusion factor of a motion model adapti...

Journal: :Image Vision Comput. 2012
Søren Hauberg Stefan Sommer Kim Steenstrup Pedersen

In articulated tracking, one is concerned with estimating the pose of a person in every frame of a film. This pose is most often represented as a kinematic skeleton where the joint angles are the degrees of freedom. Least-committed predictive models are then phrased as a Brownian motion in joint angle space. However, the metric of the joint angle space is rather unintuitive as it ignores both b...

Journal: :Expert Syst. Appl. 2017
Sheheryar Khan Guoxia Xu Raymond Chan Hong Yan

Robust visual tracking remains a technical challenge in real-world applications, as an object may involve many appearance variations. In existing tracking frameworks, objects in an image are often represented as vector observations, which discounts the 2-D intrinsic structure of the image. By considering an image in its actual form as a matrix, we construct the 3rd order tensor based object rep...

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