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基于广义霍夫变换模型的体育教学视向运动分析。

The Visual Movement Analysis of Physical Education Teaching considering the Generalized Hough Transform Model.

机构信息

School of Physical Education, Shandong University, Jinan 250061, China.

出版信息

Comput Intell Neurosci. 2022 Mar 9;2022:3675319. doi: 10.1155/2022/3675319. eCollection 2022.

DOI:10.1155/2022/3675319
PMID:35310581
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8926478/
Abstract

In order to promote the effect of college physical education reform, this paper combines the generalized Hough transform model to analyze the visual movement of physical education teaching. The idea proposed in this paper uses the position information of the edge image itself and the direction information of the curve segment to directly eliminate the impossible targets, which fundamentally alleviates the problem of invalid sampling and accumulation. Moreover, this paper greatly constrains the parameter space based on the results of each segment of the curve, which greatly reduces the search burden of high-dimensional parameters, and combines the improved algorithm to construct a sports teaching video action analysis system. The experimental research shows that the visual movement analysis system of physical education teaching considering the generalized Hough transform model proposed in this paper can effectively analyze the sports teaching actions and improve the efficiency of physical education.

摘要

为了提升高校体育教学改革效果，本文结合广义霍夫变换模型，分析体育教学的视觉动作。本文提出的思路利用边缘图像自身的位置信息和曲线段的方向信息直接消除不可能的目标，从根本上缓解无效采样和累积的问题。此外，本文还基于曲线各段的结果，对参数空间进行了极大的约束，大大降低了高维参数的搜索负担，并结合改进算法构建了运动教学视频动作分析系统。实验研究表明，本文提出的考虑广义霍夫变换模型的体育教学视觉动作分析系统能够有效分析体育教学动作，提高体育教学效率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d48f/8926478/a7df54867664/CIN2022-3675319.008.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d48f/8926478/798e7f5501a8/CIN2022-3675319.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d48f/8926478/dc0ed0e6b2eb/CIN2022-3675319.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d48f/8926478/9976adaaa61c/CIN2022-3675319.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d48f/8926478/2950c6c31042/CIN2022-3675319.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d48f/8926478/e1f920ff0810/CIN2022-3675319.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d48f/8926478/cba5e667bf33/CIN2022-3675319.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d48f/8926478/d3a430ea7a0b/CIN2022-3675319.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d48f/8926478/a7df54867664/CIN2022-3675319.008.jpg

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A Review of the Evolution of Vision-Based Motion Analysis and the Integration of Advanced Computer Vision Methods Towards Developing a Markerless System.
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Sports Med Open. 2018 Jun 5;4(1):24. doi: 10.1186/s40798-018-0139-y.