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Hierarchical recognition of intentional human gestures for sports video annotation

Chambers, Graeme S., Venkatesh, Svetha, West, Geoff A.W. and Bui, Hung H. 2002, Hierarchical recognition of intentional human gestures for sports video annotation, in ICPR 2002 : Proceedings of the International Conference on Pattern Recognition, IEEE, Los Alamitos, Calif., pp. 1082-1085, doi: 10.1109/ICPR.2002.1048493.

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Title Hierarchical recognition 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 International Conference on Pattern Recognition (16th : 2002 : Quebec, Canada)
Conference location Quebec, Canada
Conference dates 11-15 Aug. 2002
Title of proceedings ICPR 2002 : Proceedings of the International Conference on Pattern Recognition
Editor(s) Kasturi, R.
Laurendeau, D.
Suen, C.
Publication date 2002
Conference series International Conference on Pattern Recognition
Start page 1082
End page 1085
Total pages 4
Publisher IEEE
Place of publication Los Alamitos, Calif.
Keyword(s) accelerometers
feature extraction
markov processes
mathematical models
probabilistic logics
video signal processing
Summary We present a novel technique for the recognition of complex human gestures for video annotation using accelerometers and the hidden Markov model. Our extension to the standard hidden Markov model allows us to consider gestures at different levels of abstraction through a hierarchy of hidden states. Accelerometers in the form of wrist bands are attached to humans performing intentional gestures, such as umpires in sports. Video annotation is then performed by populating the video with time stamps indicating significant events, where a particular gesture occurs. The novelty of the technique lies in the development of a probabilistic hierarchical framework for complex gesture recognition and the use of accelerometers to extract gestures and significant events for video annotation.
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 9780769516967
0769516963
ISSN 1051-4651
Language eng
DOI 10.1109/ICPR.2002.1048493
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 ©2002, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30044650

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.