DocumentCode
1879119
Title
Using camera motion to identify types of American football plays
Author
Lazarescu, Mihai ; Venkatesh, Svetha
Author_Institution
Sch. of Comput., Curtin Univ. of Technol., Perth, WA, Australia
Volume
2
fYear
2003
fDate
6-9 July 2003
Abstract
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%.
Keywords
image motion analysis; image segmentation; sport; video cameras; video signal processing; American football plays; camera motion parameters; image segmentation; motion information; Cameras; Data mining; Games; Image analysis; Image segmentation; Machine assisted indexing; Robustness; Supervised learning; System testing; Tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia and Expo, 2003. ICME '03. Proceedings. 2003 International Conference on
Print_ISBN
0-7803-7965-9
Type
conf
DOI
10.1109/ICME.2003.1221583
Filename
1221583
Link To Document