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Most existing gesture detection and tracking algorithms construct fixed postures that make search regions narrower. Under robot circumstances, however, it is unreasonable to makes users stick to a certain pose. In this paper we suggest a particular motion that help to detect and tracking hands easier under robot circumstances. The requirements of such motion are mainly three; first, the motion can...
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 Kanade-Lucas-Tomasi (KLT) features, respectively. Furthermore, this method provides directivity of a target, enabling us to...
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