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.
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.
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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
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