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作 者:王晓宇 Wang Xiaoyu(Huainan Normal University,Huainan 232038,China)
机构地区:[1]淮南师范学院,安徽淮南232038
出 处:《廊坊师范学院学报(自然科学版)》2020年第4期95-99,共5页Journal of Langfang Normal University(Natural Science Edition)
基 金:2019年安徽省教育厅人文社会科学研究重点项目“基于全生命周期健康的篮球运动健康价值研究”(SK2019A0568)。
摘 要:构建高水平游泳运动员训练全过程的视频采集系统,对采集的视频图像进行信息转换分析,通过视觉特征信息跟踪识别方法进行训练过程的动作特征点融合,利用视频动作图像的信息识别,建立训练全过程视频图像的关键动作特征点的提取模型,继而提取视频图像的关键特征,通过空间三维信息融合方法建立训练动作三维重构模型,结合视频追踪和过程轨迹识别,提取有效动作信息检测,实现高水平游泳运动员训练全过程监控系统优化。This paper designs a video acquisition system for the whole training process of high-level swimmers.It conducts information conversion analysis on the collected video images of the entire training process of high-level swimmers,and uses visual feature information tracking and recognition methods to integrate the movement feature points of the training process.Using the information recognition of the video action image,the system establishes the extraction model of the key movement feature points of the high-level swimmer training video image throughout the training process,then extracts the key features of the video image,and establishes three-dimensional reconstruction model of training movements based on information fusion method.Combined with video tracking and process trajectory recognition,the system extracts effective action information for detection,and optimizes the monitoring system for the whole training process of high-level swimmers.
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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