Real-time Hand Gesture Recognition from Depth Images Using Convex Shape Decomposition Method-Reference-Cited by-同舟云学术

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Real-time Hand Gesture Recognition from Depth Images Using Convex Shape Decomposition Method

Published:2013-06-29 Issue:1 Volume:74 Page:47-58
ISSN:1939-8018
Container-title:Journal of Signal Processing Systems
language:en
Short-container-title:J Sign Process Syst

Author:

Qin Shuxin,Zhu Xiaoyang,Yang Yiping,Jiang Yongshi

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Modeling and Simulation,Information Systems,Signal Processing,Theoretical Computer Science,Control and Systems Engineering

Link

http://link.springer.com/content/pdf/10.1007/s11265-013-0778-7.pdf

Reference29 articles.

1. Wachs, J.P., Kölsch, M., Stern, H., Edan, Y. (2011). Vision-based hand-gesture applications. Communications of the ACM, 54(2), 60–71.

2. Wang, R.Y., & Popović, J. (2009). Real-time hand-tracking with a color glove. ACM Transactions on Graphics (TOG), 28(63), 1–8.

3. Bretzner, L., Laptev, I., Lindeberg, T. (2002). Hand gesture recognition using multi-scale colour features, hierarchical models and particle filtering. In IEEE international conference on automatic face and gesture recognition (pp. 423–428). IEEE.

4. Argyros, A., & Lourakis, M. (2004). Real-time tracking of multiple skin-colored objects with a possibly moving camera. In European Conference on Computer Vision (pp. 368–379). Springer.

5. Argyros, A., & Lourakis, M. (2006). Vision-based interpretation of hand gestures for remote control of a computer mouse. In Computer Vision in Human-Computer Interaction (pp. 40–51). Springer.

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