Real-Time 3D Hand Gesture Detection from Depth Images

DOI

10.2991/iccia.2012.189How to use a DOI?

Keywords

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

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.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Lin Song
AU  - Ruimin Hu
AU  - Hua Zhang
AU  - Yulian Xiao
AU  - Liyu Gong
PY  - 2014/05
DA  - 2014/05
TI  - Real-Time 3D Hand Gesture Detection from Depth Images
BT  - Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)
PB  - Atlantis Press
SP  - 785
EP  - 788
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccia.2012.189
DO  - 10.2991/iccia.2012.189
ID  - Song2014/05
ER  -