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. Attached Files Name Description MIMEType Size Downloads venkatesh-usingcamera-2003.pdf Published version application/pdf 302.74KB 174 Title Using camera motion to identify different types of American football plays Author(s) Lazarescu, Mihai Venkatesh, Svetha 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 Persistent URL http://hdl.handle.net/10536/DRO/DU:30044832 Document type: Conference Paper Collections: School of Information Technology Open Access Collection Related Links Link Description Connect to published version (restricted access) Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. 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. Versions Version Filter Type Tue, 01 May 2012, 11:01:13 EST Fri, 04 May 2012, 12:42:46 EST Fri, 04 May 2012, 12:44:00 EST Mon, 07 May 2012, 14:03:06 EST Tue, 06 Sep 2016, 18:52:16 EST Sat, 17 Jun 2017, 03:11:06 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 17 times in Scopus Search Google Scholar Access Statistics: 274 Abstract Views, 174 File Downloads  -  Detailed Statistics Created: Tue, 01 May 2012, 11:01:13 EST

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