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 :
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