Enhanced Positioning Algorithm Using a Single Image in an LCD Camera System by Mesh Elements’ Recalculation and Angle Error Orientation

Ortiz, Óscar de Francisco; Amestoy, Manuel Estrems; Reinoso, Horacio T Sánchez; Martínez-Hombre, Julio Carrero-Blanco

doi:10.37247/upm.1.2020.1

Cited by 2 publications

(1 citation statement)

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“…[ 16 ]. At present, the application of machine vision technology in image analysis, social production, and sports analysis shows significant advantages compared with artificial vision algorithm [ 17 ]. The local features of each thing cannot be found directly by the naked eye, and it is difficult to analyze the surface features of things in detail.…”

Section: Big Data-based Network Information Technologymentioning

confidence: 99%

Application of Network Information Technology in Physical Education and Training System under the Background of Big Data

Chen

Zhou

2022

Computational Intelligence and Neuroscience

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During the last two decades, rapid development in the network technology has been observed, particularly hardware, and the development of software technology has accelerated, resulting in the launch of a variety of novel products with a wide range of applications. Traditional sports training systems, on the other hand, have a single function and a complex operation that cannot be fully implemented in colleges and universities, causing China's sports training to stagnate for a long time. The goal of physical education and training is to teach a specific action to attain its maximum potential in a variety of ways. As a result, we should use the system to collect scientifically sound and trustworthy data to aid relevant staff in completing their training tasks. Therefore, in the context of big data, network information technology has become the main way to improve the physical education system. By applying cloud computing technology, machine vision technology, and 64-bit machine technology to the physical education training system, extract the video data of the physical education system, design the system video teaching process, and complete the construction of three-dimensional human model, so as to analyze the training situation of the trainers. In this paper, 30 basketball majors in a university are selected as the professional group and 30 computer majors as the control group. The average reaction time, scores, and expert scores of the two groups are analyzed. The results show that the test of the professional group is significantly higher than that of the amateur group. At the same time, the feedback results of students using physical education and training system and normal physical education teaching and training are compared and analyzed. One week later, the students trained by the physical education system have improved their thinking ability, movement accuracy, and judgment ability, indicating that the application of the physical education training system to the actual effect is ideal.

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Section: Big Data-based Network Information Technologymentioning

confidence: 99%

Application of Network Information Technology in Physical Education and Training System under the Background of Big Data

Chen

Zhou

2022

Computational Intelligence and Neuroscience

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Design of Automatic Motion Capture Algorithm for Yao’s Long Drum Dance Based on Multieye Machine Vision

Meng

2022

Scientific Programming

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Aiming at the problems of low accuracy and long time consumption in the existing dance motion automatic capture methods, this study designs an automatic capture algorithm of Yao’s long drum dance based on multieye machine vision. The images of Yao’s long drum dance are collected by the multieye machine vision measurement system, and the image signals under different lighting conditions are processed; on this basis, by determining the dance action image threshold and analyzing the change law of action image signal, the dance action image extraction of Yao’s long drum is completed. By converting the dance action images from different angles, the Euler angle of the images from different angles is determined and fused. On this basis, the observation items of the observation part of the Yao long drum dance action image are set, and the a priori conditions and a posteriori probability of the Yao long drum dance action image preprocessing are determined, so as to obtain the best result of the dance action image, and dance action image preprocessing is completed. According to the preprocessed image, the capture algorithm of area range is designed, the remaining areas to be captured are determined by means of classification, and the automatic capture algorithm design of Yao’s long drum dance is completed. The experimental results show that the motion image captured by the automatic motion capture algorithm of Yao’s long drum dance based on multieye machine vision has high accuracy, and the capture time is long, which is feasible.

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Enhanced Positioning Algorithm Using a Single Image in an LCD Camera System by Mesh Elements’ Recalculation and Angle Error Orientation

Cited by 2 publications

References 0 publications

Application of Network Information Technology in Physical Education and Training System under the Background of Big Data

Application of Network Information Technology in Physical Education and Training System under the Background of Big Data

Design of Automatic Motion Capture Algorithm for Yao’s Long Drum Dance Based on Multieye Machine Vision

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