3D Pose Estimation of Athlete by Integrating End-Joint and 2D Pose Estimator

Abstract

In this paper，we present a video motion capture system for sport athletes．Although marker-less video motion capture is suitable for sports motion analysis，the 2D human pose estimation used in the system often fails in estimating postures in sports．This is because those postures are rarely observed in daily life．In the proposed method，we integrate the 2D human pose estimation with an end-joint estimation，which is robust to postures in sports．We validate the proposed method measuring a kick motion of a taekwondo player．