BROWSE
Detail
Conference Paper
Bimanual Hand Tracking
Cited 3 time in 
Download 0 time
Share 
Download 0 time
Share
- 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
- 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