In this paper, we propose a method for estimating the number of rallies in table tennis match videos. A play scene is extracted from a video by using frame similarity, and a ball area is detected in an upper side of the table with frame difference and color thresholding. The detected ball is either a receive ball by the upper side player or the high toss service by the bottom player. The high toss service is removed with the collision sound of the ball and table or racket. Experiments of estimating the number of rallies show the accuracy of 63.7 % with 157 play scenes of T-League match videos in Japan.
In this paper, we propose an estimation method of a rally scene from a table tennis video for broadcasting. The video is constructed of entry, rally, replay, and break scenes, the scenes are detected by comparison of adjacent frames. The rally scene shows a ping-pong table, and the table is extracted in the detected scene. In addition, an appearance of the rally scene is higher than the others, and the top number group of the scenes is defined as the rally scene. As a result of an evaluation experiment, the estimation accuracy of the proposed method is 96.8 % from 711 rally scenes of ten videos.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.