Table Tennis ball kinematic parameters estimation from non-intrusive single-view videos

The context of this research is the use of computer vision to assess the quality of sport gestures in non-intrusive conditions, i.e. without any body-worn sensors. This paper addresses the estimation of Table Tennis ball kinematic parameters from single-view videos. These parameters are important for analyzing effects given on the ball by the players, a key factor in the Table Tennis game. We intr...