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Human hand detection and segmentation plays an important role in sign language recognition and human machine interaction. In this paper, a novel approach for learning a vision-based hand detection system is introduced. The main contribution of this paper includes robust boosting-based framework for real-time detection of a hand in unconstrained and heterogeneous environments. The proposed system makes...
This paper proposes a new approach to solve the problem of real-time vision-based hand gesture recognition with the combination of hand posture and hand gesture analyses. The main objective of this is to divide the recognition problem into two levels according to the hierarchical property of hand gestures. This approach implements the posture detection with a statistical method based on Haar-like...
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