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Hierarchical part decomposition method of articulated body contour, and its application to human body motion measurement

机译:铰接式体轮廓的分层部分分解方法,及其对人体运动测量的应用

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Segmentation of an articulated object is one of the fundamental techniques of computer vision, and it can be applied to human body structure analysis and motion measurement. In this report, we propose a method that generates the contour model of each link element of an articulated object by using the hierarchical part decomposition (HPD) method of body contour. The HPD can divide the body region into characteristic elements without any model of link parameters or shape based on the distribution of high-curvature points of the object's contour in the video sequence. Although the HPD only works under the restricted situation, the proposed method can also handle more general body motion by using the shape model of human body generated from the decomposed result. Experiment results of measuring the kip motion under real environment show that the proposed method can divide the body into characteristic elements and obtain postures of the body from the video sequence.
机译:铰接物体的分割是计算机视觉的基本技术之一,它可以应用于人体结构分析和运动测量。在本报告中,我们提出了一种方法,该方法通过使用身体轮廓的分层部分分解(HPD)方法来生成铰接对象的每个链路元素的轮廓模型。 HPD可以将体区域分成特征元件,而没有基于视频序列中对象轮廓的高曲率点的分布的任何型号的链路参数或形状。虽然HPD仅在限制的情况下工作,但是该方法还可以通过使用从分解结果产生的人体的形状模型来处理更一般的身体运动。在真实环境下测量KIP运动的实验结果表明,所提出的方法可以将身体分成特征元素并从视频序列中获得身体的姿势。

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