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Tracking a table tennis ball for umpiring purposes using a multi-agent system
Myint, Hnin; Wong, Patrick; Dooley, Laurence et al.
2016In Proceedings of the 20th International Conference on Image Processing, Computer Vision, & Pattern Recognition (IPCV'16)
Peer reviewed
 

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Keywords :
object detection; tracking; multi-view; multi-agent system; table tennis
Abstract :
[en] Tracking a table tennis ball for umpiring purposes is a challenging task as, in real-match scenarios, the ball travels fast and can become occluded or merged with other background objects. This paper presents the design of a multi-view based tracking system that can overcome the challenges of tracking a ball in real match sequences. The system has been tested on a complete table tennis rally and the results are very promising. The system is able to continuously track the ball with only marginal variations in detection. Furthermore, the initialization of the multi-camera system means it is both a portable and cost-effective solution for umpiring purposes.
Disciplines :
Computer science
Author, co-author :
Myint, Hnin
Wong, Patrick
Dooley, Laurence
Hopgood, Adrian ;  Université de Liège > HEC - Ecole de gestion de l'ULG : Direction générale
Language :
English
Title :
Tracking a table tennis ball for umpiring purposes using a multi-agent system
Publication date :
2016
Event name :
20th International Conference on Image Processing, Computer Vision, & Pattern Recognition (IPCV'16)
Event place :
Las Vegas, United States
Event date :
from 25-07-2016 to 28-07-2016
Audience :
International
Main work title :
Proceedings of the 20th International Conference on Image Processing, Computer Vision, & Pattern Recognition (IPCV'16)
Publisher :
World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp)
ISBN/EAN :
1-60132-442-1
Pages :
119-125
Peer reviewed :
Peer reviewed
Available on ORBi :
since 03 August 2016

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