Tracking Table Tennis Balls in Real Match Scenes for Umpiring Applications
Journal of Advances in Mathematics and Computer Science · pp. 228–241 · Published 15 Sep 2011
10.9734/BJMCS/2011/623Abstract
Judging the legitimacy of table tennis services presents many challenges where technology can be judiciously applied to enhance decision-making. This paper presents a purpose-built system to automatically detect and track the ball during table-tennis services to enable precise judgment over their legitimacy in real-time. The system comprises a suite of algorithms which adaptively exploit spatial and temporal information from real match video sequences, which are generally characterised by high object motion, allied with object blurring and occlusion. Experimental results on a diverse set of table-tennis test sequences corroborate the system performance in facilitating consistently accurate and efficient decision-making over the validity of a service.
Cited by 14
Fabiola Haas, Timo Klein-Soetebier, Stefanie Klatt · German Journal of Exercise and Sport Research · 2025
Timo Klein-Soetebier, Gunter Straub · Spielanalyse im Sportspiel · 2022
Ganesh Neelakanta Iyer, Vignesh S. Bala, Bommidi Sohan · 2020 4th International Conference on Intelligent Computing and Control Systems (ICICCS) · 2020
Wen-Lan Wu, Jing-Min Liang, Chien-Fei Chen · Sensors · 2021
Yoshinori TAKEUCHI, Kazuto YOSHIDA · Journal of Japan Society of Sports Industry · 2017
Dimitrios Simopoulos, Andreas Nikolakakis, George Anastassopoulos · Communications in Computer and Information Science · 2023
Kristian Dokic, Tomislav Mesic, Marko Martinovic · Communications in Computer and Information Science · 2020
Fabiola Haas, Tobias Baumgartner, Timo Klein-Soetebier · Applied Sciences · 2023
Yuxin Wang, Zhiyong Sun, Yongle Luo · IEEE Transactions on Industrial Electronics · 2024
Timo Klein-Soetebier, Axel Binnenbruck · Sportpraxis · 2024
Showing 12 of 14 known citations — external sources report more than can currently be individually listed.
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