| Title: | OS25-2 An Automated Tracking System for Locating Impact Points on a Table Tennis Surface Using Ping Pong Balls |
|---|---|
| Publication: | ICAROB2025 |
| Volume: | 30 |
| Pages: | 681-687 |
| ISSN: | 2188-7829 |
| DOI: | 10.5954/ICAROB.2025.OS25-2 |
| Author(s): | Wai Kit Lee, Mastaneh Mokayef, MHD Amen Summakieh, M.K.A Ahamed Khan, Miad Mokayef, Sew Sun Tiang, Wei Hong Lim, Abdul Qayyum, Moona Mazher, Sanjoy Kumar Debnath, Takao Ito |
| Publication Date: | February 13, 2025 |
| Keywords: | Real-time detection and tracking, Hitting point prediction, Kalman Filter |
| Abstract: | This project presents a novel system for real-time table tennis ball tracking and hitting point prediction, developed using OpenCV-Python. The system is designed to contribute to strategic analysis in the sport by accurately identifying the ball's trajectory and anticipating its landing point. The proposed system is comprised of four key modules: ball detection, ball tracking, hitting point prediction, and data visualization. Computer vision techniques are employed to effectively detect and monitor the ball's movement. Kalman filtering is utilized to refine the prediction of the ball's landing point. The generated data is then presented visually to facilitate analysis and comprehension of game dynamics. |
| PDF File: | https://alife-robotics.co.jp/members2025/icarob/data/html/data/OS/OS25/OS25-2.pdf |
| Copyright: | © The authors. This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/ |
(c)2008 Copyright The Regents of ALife Robotics Corporation Ltd. All Rights Reserved.