Using Video Analysis and Machine Learning for Predicting Shot Success in Table Tennis

Draschkowitz, Lukas and Draschkowitz, Christoph and Hlavacs, Helmut (2015) Using Video Analysis and Machine Learning for Predicting Shot Success in Table Tennis. EAI Endorsed Transactions on Creative Technologies, 2 (5). e2. ISSN 2409-9708

[thumbnail of eai.20-10-2015.150096.pdf]
Available under License Creative Commons Attribution No Derivatives.

Download (2MB) | Preview


Coaching professional ball players has become more and more di�cult and requires among other abilities also good tactical knowledge. This paper describes a program that can assist in tactical coaching for table tennis by extracting and analyzing video data of a table tennis game. The here described application automatically extracts essential information from a table tennis match, such as speed, length, height and others, by analyzing a video of that game. It then uses the well known machine learning library \Weka" to learn about the success of a shot. Generalization is tested by using a training and a test set. The program then is able to predict the outcome of shots with high accuracy. This makes it possible to develop and verify tactical suggestions for players as part of an automatic analyzing and coaching tool, completely independent of human interaction.

Item Type: Article
Uncontrolled Keywords: machine learning, sports video analysis, ball tracking, video processing, video information retrieval, video mining, multimedia data mining
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
QA75 Electronic computers. Computer science
T Technology > T Technology (General)
Depositing User: EAI Editor IV
Date Deposited: 06 Apr 2021 13:18
Last Modified: 06 Apr 2021 13:18

Actions (login required)

View Item
View Item