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Dance motion analysis by correlation matrix between pose sequences

机译:通过姿势序列之间的相关矩阵分析舞蹈动作

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Since a dance motion is represented as a temporal sequence of poses, comparison of motion data is reduced to the comparison of individual poses. In the present paper, the pose comparison problem is basically solved by 2D correlation assuming that human motion is bound by gravity. Therefore, dance motion analysis is discussed based on correlation matrices that are calculated between two motion sequences captured by a motion capture system. A correlation matrix, in which each component represents a pose similarity between two poses, is defined between two motion sequences. A symmetric correlation matrix is also defined from symmetric similarities between two motion sequences. These correlation matrices are used for extraction of motion sequences that are similar or symmetric to a given dance motion, respectively. They are also used for motion difference analysis between two dancers performing a particular dance. In motion difference analysis, the correlation matrix is also considered between a motion sequence and a motion eigenspace. Some subtle motion errors can be extracted with the correlation matrix when a motion eigenspace is constructed over standard motion data.
机译:由于舞蹈动作被表示为姿势的时间序列,因此将动作数据的比较简化为各个姿势的比较。在本文中,假设人体运动受重力约束,则姿势比较问题基本上是通过2D相关解决的。因此,讨论了基于在运动捕捉系统捕捉到的两个运动序列之间计算出的相关矩阵的舞蹈运动分析。在两个运动序列之间定义了一个相关矩阵,其中每个分量表示两个姿势之间的姿势相似性。还根据两个运动序列之间的对称相似性来定义对称相关矩阵。这些相关矩阵分别用于提取与给定舞蹈运动相似或对称的运动序列。它们还用于执行特定舞蹈的两个舞者之间的运动差异分析。在运动差异分析中,还考虑了运动序列和运动本征空间之间的相关矩阵。当在标准运动数据上构建运动本征空间时,可以使用相关矩阵提取一些细微的运动误差。

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