This paper discusses video motion capture, namely, 3D reconstruction of human motion from multi-camera images. After the Part Confidence Maps are computed from each camera image, the proposed spatiotemporal filter is applied to deliver the human motion data with accuracy and smoothness for human motion analysis. The spatiotemporal filter uses the human skeleton and mixes temporal smoothing in two-time inverse kinematics computations. The experimental results show that the mean per joint position error was 26.1mm for regular motions and 38.8mm for inverted motions.
翻译:本文讨论视频运动捕捉,即3D从多摄像头图像中重建人类运动。在从每张相机图像中计算出部分信任图后,拟议的空间时空过滤器应用以准确和顺畅的方式提供人类运动数据,以便进行人类运动分析。空间时空过滤器使用人的骨骼,并在两次反动动动画计算中混合时间滑动。实验结果显示,每个组合位置误差的平均值是正常运动26.1毫米,反动运动38.8毫米。