@article{oai:niit.repo.nii.ac.jp:00001018,
 author = {伊藤, 建一 and 上島, 慶},
 journal = {新潟工科大学研究紀要},
 month = {Mar},
 note = {In this study, we developed a measurement system for the ball drop position and player posture during a table tennis stroke rally to investigate whether the system can estimate the ball drop position in real-time. OpenCV's Channel and Spatial Reliability Tracker (CSRT) was used to track the table tennis ball. OpenPose was adopted to estimate the player's posture. The estimation program was developed using Visual Studio 2019 and implemented on a personal computer (CPU: core i7-7820X, GPU: GTX-1060, Memory: 128 GB). Experiments were conducted at a frame rate of 100 fps, and the results showed that the current processing was not fast enough to achieve real-time continuous estimation.},
 pages = {1--5},
 title = {卓球競技のボール落下位置と選手姿勢のリアルタイム推定の試み},
 volume = {27},
 year = {2023}
}