Host: The Japan Society of Mechanical Engineers
Name : [in Japanese]
Date : June 01, 2022 - June 04, 2022
Video motion capture needs no markers on subject, and it makes advantage in motion capture of sports. However, video motion capture sometimes fails in estimating some characteristic poses of sports due to the lack of such data in training dataset. In this study, we transfer trained an image pose estimator using an original sports image dataset to use in video motion capture in sports field. We also 3D reconstructed sports motion of taekwondo and artistic gymnastics. We found proposal method is useful when reconstructing motion such as vault motion that is difficult to be reconstructed by some conventional method.
