venkatesh-segmentationof-2004.pdf (429.63 kB)
Segmentation of intentional human gestures for sports video annotation
conference contribution
posted on 2004-01-01, 00:00 authored by G Chambers, Svetha VenkateshSvetha Venkatesh, G West, H BuiWe 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.
History
Event
Multimedia Modelling Conference (10th : 2004 : Brisbane, Qld.)Pagination
124 - 129Publisher
IEEE Computer SocietyLocation
Brisbane, Qld.Place of publication
Los Alamitos, Calif.Start date
2004-01-05End date
2004-01-07ISBN-13
9780769520841ISBN-10
0769520847Language
engNotes
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.Publication classification
E1.1 Full written paper - refereedCopyright notice
2004, IEEEEditor/Contributor(s)
Y ChenTitle of proceedings
MMM 2004 : Proceedings of the 10th International Multimedia Modelling ConferenceUsage metrics
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