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In this paper, a real-time technique for segmenting a hand, determining hand's locations is described. The algorithm consists of two steps; the first is to location the hand area in noise condition and segment the part of hand. Then seek for angles of the fingers and location of fingertip with a novel factor determination in special OPS (optical parameter sequence). It keeps the advantages of optical...
Vision based human robot interaction (HRI) in a crowded scene is a challenging research problem. The aim of this paper is to provide a reliable framework for simple gesture recognition for robotic navigation under partial occlusion and varying illumination conditions. The proposed method combines hand motion segmentation and skin colour detection for gesture recognition. Motion clustering based on...
Reliable segmentation and motion tracking algorithms are required to achieve gesture detection and tracking for human-machine interaction. In this paper we present an efficient method for detecting and tracking moving hands in sign language video frames. We make use of the geodesic active region framework in conjunction with new color and motion forces; color information is provided by a skin color...
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