  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.
