Dengke Gao

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This paper introduces a method of hand-raising gestures detection in indoor environments, using shape and edge features. Past approaches have detected the gestures through recognizing the action for isolated or seated persons. Here, to deal with movements, non-rigidity and partially occlusions of human bodies, the gestures are detected by searching for(More)
This paper proposes a method for hand-raising gesture detection that can be used for mobile robots in indoor environments. Different from traditional methods which are capable of the detection of handraising gesture with a static camera, our method can process the detection on a non-stationary platform. At first, haar-like features of raised arms are(More)
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