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Conference Paper Bimanual Hand Tracking
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Authors
Hye-Jin Kim, Keun-Chang Kwak, Jae Yeon Lee
Issue Date
2006-05
Citation
International Conference on Computational Science and Its Applications (ICCSA) 2006 (LNCS 3980), v.3980, pp.955-963
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1007/11751540_104
Project Code
06MI1200, Embedded Component Technology and Standardization for URC, Young-Jo Cho
Abstract
This paper proposes a novel real-time hand tracking algorithm in the presence of occlusion. For this purpose, we construct a limb model and maintain the model obtained from ARKLT methods with respect to second-order auto-regression model and Kanade-LucasTomasi(KLT) features, respectively. Furthermore, this method do not require to categorize types of superimposed hand motion based on directivity obtained by the slope's direction of KLT regression. Thus, we can develop a method of hand tracking for gesture and activity recognition techniques frequently used in conjunction with Human-Robot Interaction (HRI) components. © Springer-Verlag Berlin Heidelberg 2006.
KSP Keywords
Activity Recognition, Auto-regression model, Human-Robot Interaction(HRI), Real-time hand tracking, Tracking algorithm, hand motion, second-order