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학술대회 Bimanual Hand Tracking
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저자
김혜진, 곽근창, 이재연
발행일
200605
출처
International Conference on Computational Science and Its Applications (ICCSA) 2006 (LNCS 3980), v.3980, pp.955-963
DOI
https://dx.doi.org/10.1007/11751540_104
협약과제
06MI1200, URC를 위한 내장형 컴포넌트 기술개발 및 표준화, 조영조
초록
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 제안 키워드
Activity Recognition, Auto-regression model, Human-Robot Interaction(HRI), Real-time hand tracking, Tracking algorithm, hand motion, second-order