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12th International Conference on Image Analysis and Processing (ICIAP'03)
Recognising Moving Hand Shapes
Mantova, Italy
September 17-September 19
ISBN: 0-7695-1948-2
Eun-Jung Holden, University of Western Australia
Robyn Owens, University of Western Australia
This paper represents a new hand shape representation technique that characterises the finger-only topology of the hand, by adapting an existing technique from speech signal processing. From a moving hand sequence, the tracking algorithm determines the centre of the largest convex subset of the hand, using a combination of pattern matching and condensation algorithms. A hand shape feature represents the topological formation of the finger-only regions of the hand using a Linear Predictive Coding parameter set called cepstral coefficients. Experimental results demonstrate the effectiveness of detecting the shape feature from motion sequences.
Citation:
Eun-Jung Holden, Robyn Owens, "Recognising Moving Hand Shapes," iciap, pp.14, 12th International Conference on Image Analysis and Processing (ICIAP'03), 2003
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