Browse DORAS
Browse Theses
Latest Additions
Creative Commons License
Except where otherwise noted, content on this site is licensed for use under a:

Automatic camera selection for activity monitoring in a multi-camera system for tennis

Kelly, Philip and Ó Conaire, Ciarán and Kim, Chanyul and O'Connor, Noel E. (2009) Automatic camera selection for activity monitoring in a multi-camera system for tennis. In: ICDSC 2009 - Third ACM/IEEE International Conference on Distributed Smart Cameras, 30 August - 2 September 2009, Como, Italy. (In Press)

Full text available as:

PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader


In professional tennis training matches, the coach needs to be able to view play from the most appropriate angle in order to monitor players' activities. In this paper, we describe and evaluate a system for automatic camera selection from a network of synchronised cameras within a tennis sporting arena. This work combines synchronised video streams from multiple cameras into a single summary video suitable for critical review by both tennis players and coaches. Using an overhead camera view, our system automatically determines the 2D tennis-court calibration resulting in a mapping that relates a player's position in the overhead camera to their position and size in another camera view in the network. This allows the system to determine the appearance of a player in each of the other cameras and thereby choose the best view for each player via a novel technique. The video summaries are evaluated in end-user studies and shown to provide an efficient means of multi-stream visualisation for tennis player activity monitoring.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Uncontrolled Keywords:automatic camera selection; tennis;
Subjects:Computer Science > Image processing
Medical Sciences > Performance
Computer Science > Digital video
Medical Sciences > Sports sciences
DCU Faculties and Centres:Research Initiatives and Centres > CLARITY: The Centre for Sensor Web Technologies
Publisher:Institute of Electrical and Electronics Engineers
Official URL:
Copyright Information:©2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Funders:Science Foundation Ireland
ID Code:4707
Deposited On:16 Jul 2009 14:08 by Ciaran O Conaire. Last Modified 01 Feb 2017 13:52

Download statistics

Archive Staff Only: edit this record