Authors:
Shuji Tanikawa
and
Norio Tagawa
Affiliation:
Graduate School of Systems Design, Tokyo Metropolitan University, Hino, Tokyo 191-0065, Japan
Keyword(s):
Basketball Analysis, Player Tracking, Occlusion Avoidance, Multiple Camera, Radon Transform, OpenPose.
Abstract:
In this study, we aim to realize the automatic tracking of basketball players by avoiding occlusion of players, which is an important issue in basketball video analysis, using multi-viewpoint images. Images taken with a hand-held camera are used, to expand the scope of application to uses such as school club activities. By integrating the player tracking results from each camera image with a 2-D map viewed from above the court, using projective transformation, the occlusion caused by one camera is stably solved using the information from other cameras. In addition, using OpenPose for player detection reduces the occlusion that occurs in each camera image before all camera images are integrated. We confirm the effectiveness of our method by experiments with real image sequences.