A study on particle identification in PTV

Etoh, Takeharu; Takehara, Kohsei; Michioku, Kohji; Kuno, Satoshi

doi:10.2208/prohe.40.1051

Cited by 7 publications

(1 citation statement)

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“…Note that the template image for detecting the ball center was generated artificially by computer graphics. It is assumed that the intensity distribution of the template image is approximated by the Gaussian distribution [19], and the intensity distribution is expressed by modifying the coefficients of the Gaussian distribution to fit with the experimental observation of the falling ball. The purpose of introducing the artificial image to the flight trajectory analysis is to minimize the influence of the image noise.…”

Section: Flight Trajectory Analysismentioning

confidence: 99%

Evaluation of Flight Trajectory and Unsteady Fluid Forces on Kicked Non-Spinning Soccer Ball by Digital Image Analysis

Yamagata¹,

Nagasawa²,

Fujisawa³

et al. 2013

JFCMV

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This paper describes the experimental method for evaluating the flight trajectory and the aerodynamic performance of a kicked non-spinning soccer ball. The flight trajectory measurement is carried out using the digital image analysis. A centroid method and a template matching method are tested for the flight trajectory analysis using the artificial images generated by the data of a free-fall experiment. The drag coefficient obtained by the centroid method is better suited for the sports ball experiment than that by the template matching method, which is due to the robustness of the centroid method to the non-uniform illumination. Then, the flight trajectory analysis is introduced to a kicked experiment for a non-spinning soccer ball. The experimental result obtained from the stereo observation indicates that the S-shaped variation is found in the three-dimensional flight trajectory and in the side force coefficient during the flight of the nonspinning soccer ball.

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Section: Flight Trajectory Analysismentioning

confidence: 99%

Evaluation of Flight Trajectory and Unsteady Fluid Forces on Kicked Non-Spinning Soccer Ball by Digital Image Analysis

Yamagata¹,

Nagasawa²,

Fujisawa³

et al. 2013

JFCMV

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C-based system LSI design of a particle tracking technology

Kambe

2011

2011 20th European Conference on Circuit Theory and Design (ECCTD)

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The size and performance of a system LSI depend heavily on the architecture which is chosen. As a result, the architecture design phase is one of the most important steps in the system LSI development process and is critical to the commercial success of a device. In this paper, we propose a Cbased system LSI design methodology and apply it to the design of of a software and hardware system based on the particle mask correlation (PMC) method and the KC method. The computational overhead is accelerated by the use of secondary differentiation preprocessing, 1-mask processing, cache memory utilization, area limitation of the particle search, and functionlevel pipelining. The processing speed, the circuit size of the system are evaluated.

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