Motion recognition technology of badminton players in sports video images

2021 ◽  
Author(s):  
Lei Fang ◽  
Mingsi Sun
Keyword(s):  
Motion Recognition ◽  
Sports Video ◽  
Video Images

scholarly journals Image Quality Evaluation of Sanda Sports Video Based on BP Neural Network Perception

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Kai Fan ◽  
Xiaoye Gu
Keyword(s):  
Neural Network ◽  
Image Quality ◽  
Evaluation Method ◽  
Video Image ◽  
Time Analysis ◽  
Sports Video ◽  
Real Time Analysis ◽  
Video Images ◽  
Motion Video

In the special sports camera, there are subframes. A lens is composed of multiple frames. It will be unclear if a frame is cut out. The definition of video screenshots lies in the quality of video. To get clear screenshots, we need to find clear video. The purpose of this paper is to analyze and evaluate the quality of sports video images. Through the semantic analysis and program design of video using computer language, the video images are matched with the data model constructed by research, and the real-time analysis of sports video images is formed, so as to achieve the real-time analysis effect of sports techniques and tactics. In view of the defects of rough image segmentation and high spatial distortion rate in current sports video image evaluation methods, this paper proposes a sports video image evaluation method based on BP neural network perception. The results show that the optimized algorithm can overcome the slow convergence of weights of traditional algorithm and the oscillation in error convergence of variable step size algorithm. The optimized algorithm will significantly reduce the learning error of neural network and the overall error of network quality classification and greatly improve the accuracy of evaluation. Sanda motion video image quality evaluation method based on BP (back propagation) neural network perception has high spatial accuracy, good noise iteration performance, and low spatial distortion rate, so it can accurately evaluate Sanda motion video image quality.

Computing cell tractions from particle displacements on silicone rubber substrata

1994 ◽  
Vol 52 ◽  
pp. 162-163
Author(s):  
Tim Oliver ◽  
Akira Ishihara ◽  
Ken Jacobsen ◽  
Micah Dembo
Keyword(s):  
Plane Stress ◽  
Linear Elasticity ◽  
Silicone Rubber ◽  
Mathematical Analysis ◽  
Elastic Recovery ◽  
Video Images ◽  
Cell Traction Forces ◽  
Latex Beads ◽  
Cell Traction ◽  
Better Than

In order to better understand the distribution of cell traction forces generated by rapidly locomoting cells, we have applied a mathematical analysis to our modified silicone rubber traction assay, based on the plane stress Green’s function of linear elasticity. To achieve this, we made crosslinked silicone rubber films into which we incorporated many more latex beads than previously possible (Figs. 1 and 6), using a modified airbrush. These films could be deformed by fish keratocytes, were virtually drift-free, and showed better than a 90% elastic recovery to micromanipulation (data not shown). Video images of cells locomoting on these films were recorded. From a pair of images representing the undisturbed and stressed states of the film, we recorded the cell’s outline and the associated displacements of bead centroids using Image-1 (Fig. 1). Next, using our own software, a mesh of quadrilaterals was plotted (Fig. 2) to represent the cell outline and to superimpose on the outline a traction density distribution. The net displacement of each bead in the film was calculated from centroid data and displayed with the mesh outline (Fig. 3).

The effect of excessive violence in sports video games on aggressive affect, cognition, and behavior

2006 ◽  
Author(s):  
Nicholas L. Carnagey ◽  
Jessica R. Mugge ◽  
Craig A. Anderson
Keyword(s):  
Video Games ◽  
Sports Video ◽  
And Behavior

“Are You Religious or are You Saved?”

2012 ◽  
Vol 6 (1) ◽  
pp. 47-63
Author(s):  
Stephen Pihlaja
Keyword(s):  
Multimodal Approach ◽  
Membership Categorization Analysis ◽  
Evangelical Christian ◽  
Video Images ◽  
User Comments ◽  
Membership Categorization ◽  
Longitudinal Observation

Using membership categorization analysis, this article investigates membership categories in a YouTube video made by an Evangelical Christian in which he differentiates between “saved” and “religious” users. Analysis will take a discourse-centred, multimodal approach grounded in longitudinal observation, using analysis of video discourse to instruct analysis of video images and user comments. Findings will show that categorization is accomplished by using recognized categories with ambiguous descriptions of category-bound activities that include metaphors, such as “being hungry for God” and not “hanging out with atheists.” These categories are recognized by commenters on the video, but the category bound activities applied to the category members are disputed. Findings will also show that scriptural reference plays an important role in categorization in the video, drawing on direct Bible quotes as well as paraphrases of key passages.

STRUCTURAL AND LOGISTIC MODEL OF MATERIAL FLOWS ON DIGITALLIVESTOCK FARM

2020 ◽  
pp. 26-32
Author(s):  
VLADIMIR V KIRSANOV VLADIMIR V ◽  
Keyword(s):  
Functional Model ◽  
Base Stations ◽  
Farm Animals ◽  
Biological Objects ◽  
Livestock Breeding ◽  
Video Images ◽  
Genetic Potential ◽  
Common Control ◽  
Biotechnical System ◽  
Multi Agent

The problems of the digitalization of livestock enterprises are closely related to the construction of models and algorithms describing the functioning of individual technological processes and subsystems united by a common control system. Based on the cluster approach, three groups of tasks for the intellectualization and digitalization of objects in livestock breeding are formulated: 1) recognition of images of biological objects and models of their group and individual behavior, 2) genomic assessment of farm animals, prediction of their genetic potential, with the possibility of better adaptation to technologies and specifi c economic conditions, 3) multi-agent management of automated and robotic technical means. The authors initialized the video images of biological objects, developed a structural and functional model of a complex biotechnical system “Man-Machine-Animal”, including automated workstations of key specialists, signal receiving-and-transmitting base stations, technological modules for animal service (feeding, watering, milking, microclimate, etc.), representing local biotechnical systems. The paper presents a structural-and-logistic “funnel” model of a livestock farm functioning. The model includes vectors of incoming material fl ows, outgoing production fl ows and outgoing byproducts (production waste) described using appropriate formalizations. The authors provide the structural typifi cation of technological modules and subsystems for their mathematical analysis and subsequent digital transformation of livestock farms.

IMPROVEMENT OF STIV FOR VIDEO IMAGES CAPTURED UNDER DETERIORATED MEASUREMENT CONDITIONS

2018 ◽  
Vol 74 (5) ◽  
pp. I_619-I_624
Author(s):  
Ichiro FUJITA ◽  
Tatsushi SHIBANO ◽  
Kojiro TANI
Keyword(s):  
Video Images
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