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Using camera motion to identify different types of American football plays

Lazarescu, Mihai and Venkatesh, Svetha 2003, Using camera motion to identify different types of American football plays, in ICME 2003 : Proceedings of the IEEE International Conference on Multimedia and Expo, IEEE, [Washington, D. C.], pp. 181-184, doi: 10.1109/ICME.2003.1221583.

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Title Using camera motion to identify different types of American football plays
Author(s) Lazarescu, Mihai
Venkatesh, SvethaORCID iD for Venkatesh, Svetha orcid.org/0000-0001-8675-6631
Conference name International Conference on Multimedia and Expo (2003 : Baltimore, Md.)
Conference location Baltimore, Md.
Conference dates 6-9 Jul. 2003
Title of proceedings ICME 2003 : Proceedings of the IEEE International Conference on Multimedia and Expo
Editor(s) [Unknown]
Publication date 2003
Conference series International Conference on Multimedia and Expo
Start page 181
End page 184
Total pages 4
Publisher IEEE
Place of publication [Washington, D. C.]
Keyword(s) American football plays
camera motion parameters
image segmentation
motion information
Summary This paper presents a method that uses camera motion parameters to recognise 7 types of American football plays. The approach is based on the motion information extracted from the video and it can identify short and long pass plays, short and long running plays, quarterback sacks, punt plays and kickoff plays. This method has the advantage that it is fast and it does not require player or ball tracking. The system was trained and tested using 782 plays and the results show that the system has an overall classification accuracy of 68%.
Notes This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
ISBN 0780379659
Language eng
DOI 10.1109/ICME.2003.1221583
Field of Research 089999 Information and Computing Sciences not elsewhere classified
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1.1 Full written paper - refereed
Copyright notice ©2003, IEEE
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30044832

Document type: Conference Paper
Collections: School of Information Technology
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.