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Informatika i Ee Primeneniya [Informatics and its Applications], 2012, Volume 6, Issue 1, Pages 114–121
(Mi ia192)
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Section: Image Processing and Pattern Recognition
Real-time hand gesture recognition by planar and spatial skeletal models
A. V. Kurakin Moscow Institute of Physics and Technology (State University)
Abstract:
The hand gesture recognition problem is considered. Algorithm to detect planar positions of fingertips by the image of hand silhouette is proposed. It operates with the analysis of continuous skeleton of the hand shape for silhouette segmentation. An extension of the algorithm to spatial case is presented. It uses stereo pair of hand silhouettes to estimate spatial positions of hand and fingertips. The developed methods work in real time, allowing their use in applied hand gesture recognition systems.
Keywords:
continuous skeleton; shape analysis; gesture recognition; stereovision.
Citation:
A. V. Kurakin, “Real-time hand gesture recognition by planar and spatial skeletal models”, Inform. Primen., 6:1 (2012), 114–121
Linking options:
https://www.mathnet.ru/eng/ia192 https://www.mathnet.ru/eng/ia/v6/i1/p114
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Abstract page: | 1647 | Full-text PDF : | 1198 | References: | 76 | First page: | 10 |
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