venkatesh-hierarchicalrecognition-2002.pdf (271.65 kB)
Hierarchical recognition of intentional human gestures for sports video annotation
conference contribution
posted on 2002-01-01, 00:00 authored by G Chambers, Svetha VenkateshSvetha Venkatesh, G West, H BuiWe 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.
History
Event
International Conference on Pattern Recognition (16th : 2002 : Quebec, Canada)Pagination
1082 - 1085Publisher
IEEELocation
Quebec, CanadaPlace of publication
Los Alamitos, Calif.Publisher DOI
Start date
2002-08-11End date
2002-08-15ISSN
1051-4651ISBN-13
9780769516967ISBN-10
0769516963Language
engNotes
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E1.1 Full written paper - refereedCopyright notice
2002, IEEEEditor/Contributor(s)
R Kasturi, D Laurendeau, C SuenTitle of proceedings
ICPR 2002 : Proceedings of the International Conference on Pattern RecognitionUsage metrics
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