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TennisSense: a platform for extracting semantic information from multi-camera tennis data

Ó Conaire, Ciarán and Kelly, Philip and Connaghan, Damien and O'Connor, Noel E. (2009) TennisSense: a platform for extracting semantic information from multi-camera tennis data. In: DSP 2009 - 16th International Conference on Digital Signal Processing, 5-7 July 2009, Santorini, Greece.

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In this paper, we introduce TennisSense, a technology platform for the digital capture, analysis and retrieval of tennis training and matches. Our algorithms for extracting useful metadata from the overhead court camera are described and evaluated. We track the tennis ball using motion images for ball candidate detection and then link ball candidates into locally linear tracks. From these tracks we can infer when serves and rallies take place. Using background subtraction and hysteresis-type blob tracking, we track the tennis players positions. The performance of both modules is evaluated using ground-truthed data. The extracted metadata provides valuable information for indexing and efficient browsing of hours of multi-camera tennis footage and we briefly illustrative how this data is used by our tennis-coach playback interface.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Uncontrolled Keywords:sports video analysis; semantic knowledge extraction; tennis ball tracking; player tracking;
Subjects:Engineering > Signal processing
Computer Science > Image processing
Computer Science > Digital video
Computer Science > Algorithms
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering
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:2981
Deposited On:19 Mar 2009 09:54 by Ciaran O Conaire. Last Modified 01 Feb 2017 13:52

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