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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 raised hands and arms rather than recognizing...
This paper introduces a method for hand-raising gestures detection based on human body silhouette analysis in indoor environments. Past approaches have detected the gestures for isolated persons or seated persons. Our method can deal with moving persons in crowd. First, background subtraction based on integration of intensity histograms with codebook of color feature is employed to segment human bodies...
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