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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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.
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