  The effectiveness of the approaches to predict 3D poses from 2D poses
estimated in each frame of a video has been demonstrated for 3D human pose
estimation. However, 2D poses without appearance information of persons have
much ambiguity with respect to the joint depths. In this paper, we propose to
estimate a 3D pose in each frame of a video and refine it considering temporal
information. The proposed approach reduces the ambiguity of the joint depths
and improves the 3D pose estimation accuracy.
