主催: 電気・情報関係学会九州支部連合大会委員会
会議名: 2024年度電気・情報関係学会九州支部連合大会
回次: 77
開催地: 鹿児島大学
開催日: 2024/09/26 - 2024/09/27
Recognition of which player is currently having the ball is necessary to perform soccer player analysis. Our previous work showed that conventional object-tracking methods are limited in detecting the ball consistently. Focus on the player's pose could be an alternative approach to localize on-the-ball players. We devised an Annotation Tool with Pose Estimation to collect the players' poses and Object Tracking to apply consistent ID for each player's pose. The annotation task selects the on-the-ball player and stores its ID. The result is an annotation file with a localized pose representing the on-the-ball player per frame.