现代电子技术2017，Vol.40Issue(11)：68-71,4.DOI:10.16652/j.issn.1004-373x.2017.11.018
体育训练过程中的运动视频分析与识别研究
Study on analysis and recognition of moving video in physical training
摘要
Abstract
The trainer replays the low difficulty action video and uses the analysis management way to explain the action es-sential for athletes in physical training,which is not intuitive and scientific enough,and can′t meet the demand of trainers for sports effect assessment. Aiming at the above problems,the motion video analysis and recognition process in sports training are studied,and the adaptive threshold moving target segmentation algorithm based on particle filtering prediction is employed to realize the adaptive segmentation of moving target. The movement of athlete is tracked with particle filtering technology to shape the mo-tion model,and predict the locations of articulation-points with different importance in the subsequent moving video frame ac-cording to the motion model,so as to track the subsequent moving video frame. The condition random field method is adopted to realize the movement recognition in sports training video. The experimental results indicate that the method has high movement recognition rate and low false separation rate.关键词
体育训练/运动视频/分析与识别方法/粒子滤波技术Key words
physical training/moving video/analysis and recognition method/particle filtering technology分类
信息技术与安全科学引用本文复制引用
南秋红..体育训练过程中的运动视频分析与识别研究[J].现代电子技术,2017,40(11):68-71,4.基金项目
河南省科技厅科技攻关项目(132102310462) （132102310462）
