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作 者:王小妮[1] WANG Xiao-ni(Xi'an Traffic Engineering Institute,Xi'an Shaanxi 710300,China)
出 处:《粘接》2020年第11期168-171,共4页Adhesion
摘 要:三维视觉检测的优势在于可以对错误体育动作作出准确识别,提高运动员的训练质量。建立三维视觉检测模型,需要通过运动形状参数建立体育错误动作三维视觉判别函数,而传统的算法不能对运动形状参数进行获取与更新,降低了三维视觉检测模型的精准度。文章总结了教练员体育指导错误动作三维视觉检测建模原理;在传统公式的基础上提出了基于叶贝斯算法的体育运动错误动作检测;通过实验对比证实了基于叶贝斯算法建立的教练员体育指导错误动作三维视觉检测模型更具优势,其检测精准度更高。The advantage of 3D vision detection is that it can accurately identify wrong sports movements and improve the training quality of athletes.To establish a 3D visual detection model,it is necessary to establish a 3D visual discrimination function of sports error actions through motion shape parameters.However,traditional algorithms cannot obtain and update motion shape parameters,which reduces the accuracy of the 3D visual detection model.The paper summarizes the modeling principle of 3d visual detection of coaches'wrong movements.Based on the traditional formula,the error detection of sports motion based on Yebes algorithm is proposed.Through experimental comparison,it is proved that the 3d visual detection model based on Yerbs algorithm is more advantageous and its detection accuracy is higher.
分 类 号:TP391.4[自动化与计算机技术—计算机应用技术]
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