Real-Time 3D Hand Gesture Detection from Depth Images
2013 ◽
Vol 756-759
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pp. 4138-4142
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In this paper, we describe an real-time algorithm to detect 3D hand gestures from depth images. Firstly, we detect moving regions by frame difference; then, regions are refined by removing small regions and boundary regions; finally, foremost region is selected and its trajectories are classified using an automatic state machine. Experiments on Microsoft Kinect for Xbox captured sequences show the effectiveness and efficiency of our system.
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2017 ◽
Vol 10
(27)
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pp. 1329-1342
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2013 ◽
Vol 765-767
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pp. 2826-2829
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2013 ◽
Vol 74
(1)
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pp. 47-58
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Keyword(s):
2011 ◽
Vol 60
(11)
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pp. 3592-3607
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