Dance motion analysis by correlation matrix between pose sequences
Dance motion analysis by correlation matrix between pose sequences
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DOI：
10.1109/ivcnz.2010.6148840
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发表时间：
2010-11
期刊：
影响因子：
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通讯作者：
R. Yamane;Takeshi Shakunaga
中科院分区：
文献类型：
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作者：
R. Yamane;Takeshi Shakunaga
由于舞蹈动作被表示为姿势的时间序列，运动数据的比较被简化为单个姿势的比较。在本文中，假设人体运动受重力约束，通过二维相关基本解决了位姿比较问题。因此，舞蹈动作分析是基于动作捕捉系统捕获的两个动作序列之间计算的相关矩阵来讨论的。在两个运动序列之间定义一个相关矩阵，其中每个分量表示两个姿态之间的姿态相似性。根据两个运动序列的对称相似度定义了对称相关矩阵。这些相关矩阵分别用于提取与给定舞蹈动作相似或对称的动作序列。它们也被用于分析表演特定舞蹈的两个舞者之间的动作差异。在运动差分分析中，还考虑了运动序列与运动特征空间之间的相关矩阵。在标准运动数据上构造运动特征空间，利用相关矩阵可以提取出一些细微的运动误差。
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.