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Conference Paper
AR-KLT based Hand Tracking
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- Authors
- Hye Jin Kim, Keun Chang Kwak, Soo Young Chi, Young Jo Cho
- Issue Date
- 2006-09
- Citation
- International Symposium on Robot and Human Interactive Communication (RO-MAN) 2006, pp.611-616
- Language
- English
- Type
- Conference Paper
- Abstract
- This paper proposes a novel real-time robust hand tracking algorithm, integrating multi-cues, and a limb's degree of freedom. For this purpose, we construct a limb model and maintain the model obtained from KLT-AR methods with respect to second-order auto-regression model and KanadeLucas-Tomasi(KLT) features, respectively. Furthermore, this method provides directivity of a target, enabling us to predict the next motion. Thus, we can develop a method of hand tracking for gesture and behavior recognition techniques frequently used in conjunction with Human-Robot Interaction (HRI) components. The experimental results show that the proposed method yields a good performance in the intelligent service robots, so called Wever developed in ETRI. ©2006 IEEE.
- KSP Keywords
- Auto-regression model, Degrees of freedom(DOF), Human-Robot Interaction(HRI), Real-Time, Service robots, Tracking algorithm, behavior recognition, hand tracking, intelligent service, second-order