Real-Time 3D Hand Gesture Detection from Depth Images

Lin Song; Rui Min Hu; Hua Zhang; Yu Lian Xiao; Li Yu Gong

doi:10.4028/www.scientific.net/AMR.756-759.4138

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 756-759Real-Time 3D Hand Gesture Detection from Depth...

Real-Time 3D Hand Gesture Detection from Depth Images

Abstract:

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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Periodical:

Advanced Materials Research (Volumes 756-759)

Pages:

4138-4142

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.756-759.4138

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Online since:

September 2013

Authors:

Lin Song, Rui Min Hu, Hua Zhang, Yu Lian Xiao, Li Yu Gong

Keywords:

3D Hand Gesture Detection, Depth Images, Human-Computer Interface, Image Recognition, KINECT

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