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Conference Paper
Fast 2D Both HandsTracking with Ariculate Motion Prediction
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- Authors
- Hye Jin Kim, Keun Chang Kwak, Jae Yeon Lee
- Issue Date
- 2006-02
- Citation
- International Conference on Advanced Communication Technology (ICACT) 2006, pp.243-248
- 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 AR-KLT methods with respect to second-order auto-regression model and Kanade-Lucas-Tomasi(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. The experimental results show that the proposed method yields a good performance in the intelligent service robots, so called WEVER developed in ETRI.
- KSP Keywords
- Activity Recognition, Auto-regression model, Human-Robot Interaction(HRI), Motion prediction, Real-time hand tracking, Service robots, Tracking algorithm, hand motion, intelligent service, second-order