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Segmentation of intentional human gestures for sports video annotation

Chambers, Graeme S., Venkatesh, Svetha, West, Geoff A. W. and Bui, Hung H. 2004, Segmentation of intentional human gestures for sports video annotation, in MMM 2004 : Proceedings of the 10th International Multimedia Modelling Conference, IEEE Computer Society, Los Alamitos, Calif., pp. 124-129.

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Title Segmentation of intentional human gestures for sports video annotation
Author(s) Chambers, Graeme S.
Venkatesh, SvethaORCID iD for Venkatesh, Svetha orcid.org/0000-0001-8675-6631
West, Geoff A. W.
Bui, Hung H.
Conference name Multimedia Modelling Conference (10th : 2004 : Brisbane, Qld.)
Conference location Brisbane, Qld.
Conference dates 5-7 Jan. 2004
Title of proceedings MMM 2004 : Proceedings of the 10th International Multimedia Modelling Conference
Editor(s) Chen, Yi-Ping Phoebe
Publication date 2004
Conference series Multimedia Modelling Conference
Start page 124
End page 129
Total pages 6
Publisher IEEE Computer Society
Place of publication Los Alamitos, Calif.
Keyword(s) segmentation
intentional human gestures
sports video annotation
Summary We present results on the recognition of intentional human gestures for video annotation and retrieval. We define a gesture as a particular, repeatable, human movement having a predefined meaning. An obvious application of the work is in sports video annotation where umpire gestures indicate specific events. Our approach is to augment video with data obtained from accelerometers worn as wrist bands by one or more officials. We present the recognition performance using a Hidden Markov Model approach for gesture modeling with both isolated gestures and gestures segmented from a stream.
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 0769520847
9780769520841
Language eng
Field of Research 080199 Artificial Intelligence and Image Processing 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 ©2004, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30044637

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.