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Real time hand gesture recognition including hand segmentation and tracking

Coogan, Thomas and Awad, George M. and Han, Junwei and Sutherland, Alistair (2006) Real time hand gesture recognition including hand segmentation and tracking. In: ISVC 2006 - 2nd International Symposium on Visual Computing, 6-8 November 2006, Lake Tahoe, NV, USA. ISBN 978-3-540-48628-2

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Abstract

In this paper we present a system that performs automatic gesture recognition. The system consists of two main components: (i) A unified technique for segmentation and tracking of face and hands using a skin detection algorithm along with handling occlusion between skin objects to keep track of the status of the occluded parts. This is realized by combining 3 useful features, namely, color, motion and position. (ii) A static and dynamic gesture recognition system. Static gesture recognition is achieved using a robust hand shape classification, based on PCA subspaces, that is invariant to scale along with small translation and rotation transformations. Combining hand shape classification with position information and using DHMMs allows us to accomplish dynamic gesture recognition.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Additional Information:The original publication is available at www.springerlink.com
Uncontrolled Keywords:automatic gesture recognition; skin detection;
Subjects:Computer Science > Digital video
DCU Faculties and Centres:Research Initiatives and Centres > Centre for Digital Video Processing (CDVP)
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Published in:Advances in Visual Computing. Lecture Notes in Computer Science 4291. Springer Berlin / Heidelberg. ISBN 978-3-540-48628-2
Publisher:Springer Berlin / Heidelberg
Official URL:http://dx.doi.org/10.1007/11919476_50
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Irish Research Council for Science Engineering and Technology
ID Code:259
Deposited On:07 Mar 2008 by DORAS Administrator. Last Modified 05 May 2010 14:43

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