Title :
Analysis and evaluation of tennis plays by computer vision
Author :
Mukai, Ryota ; Asano, Toshio ; Hara, Hajime
Author_Institution :
Hiroshima Inst. of Technol., Hiroshima, Japan
Abstract :
In this paper, tennis plays are analyzed, and skills of players are evaluated quantitatively by computer vision technology. Two cameras are used to detect the three-dimensional positions of balls and players. Subtraction of images are used to extract ball images eliminating ball shadows. The prediction of ball position by using velocity vectors of previous images enables accurate and high-speed ball detection. Sequential images of 64 return strokes and 15 services by four players were analyzed quantitatively. Six parameters that represent tennis play skill are introduced for the quantitative evaluation. These skill factors are evaluated using the multiple regression method. Among these, it is concluded that ball scattering and ball shot speed are strongly related to skill scores, and the skill factors varies between players.
Keywords :
cameras; computer vision; feature extraction; pose estimation; vectors; ball image extraction; cameras; computer vision; image subtraction; multiple regression method; tennis plays; three-dimensional position estimation; velocity vectors; Calibration; Cameras; Equations; Games; Scattering; Trajectory; Videos; 3-D detection; Computer vision; Human factor; Skill evaluation; Tennis;
Conference_Titel :
Mechatronics and Automation (ICMA), 2011 International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-8113-2
DOI :
10.1109/ICMA.2011.5985761
