Image-based center of mass estimation of the human body via 3D shape and kinematic structure
Image-based center of mass estimation of the human body via 3D shape and kinematic structure
复制标题
通过 3D 形状和运动结构进行基于图像的人体质心估计
DOI：
10.1007/s12283-019-0309-2
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发表时间：
2019
影响因子：
1.7
通讯作者：
Mariko Isogawa & Yoshinori Kusachi
中科院分区：
文献类型：
--
作者：
Tomoya Kaichi;Shohei Mori;Hideo Saito;Kosuke Takahashi;Dan Mikami;Mariko Isogawa & Yoshinori Kusachi
本文提出了一种从多视角摄像机中估计运动员重心的时间序列轨迹的方法。收集COM通常需要大规模的测量系统或为运动员安装传感器。为了缓解这种硬件限制，本研究采用了基于多视点视频的方法。该方法从一组多视图帧中重建受试者的体素，并用与身体部位相关的权重对每个体素进行加权，以计算COM。结果表明，本文提出的方法可以在20 mm的范围内对压力中心的测量结果进行测量。
This paper presents a method to estimate a time-sequential trajectory of the center of mass (CoM) of an athlete from a multi-view set of cameras. Collecting the CoM typically requires large-scale measuring systems or attaching sensors to the athletes. To mitigate such hardware limitations, the present study takes a multi-view video-based approach. The proposed method reconstructs subjects’ voxels from a set of multi-view frames and weights each voxel with body part-dependent weights to calculate a CoM. Our results, using real data measured in a studio, showed that the proposed method can estimate CoM within 20 mm concerning center of pressure measures.