Real-Time 3D Hand Tracking from Depth Images

DOI

10.2991/icsem.2013.238How to use a DOI?

Keywords

Hand Tracking, 3D Image Processing, Depth Images, Kinect, Depth Image Segmentation

Abstract

In this paper, we propose a depth image based real-time 3D hand tracking method. Our method is based on the fact that human hand is an end point of human body. Therefore, we locate human hand by finding the end point from a predicted position of hand based on the hand position of the previous frame. We iteratively grow a region around the predicted position. The end point on the major axis of the region which stops moving with region growing is selected as the final position of human hand. Experiments on Microsoft Kinect for Xbox captured sequences show the effectiveness and efficiency of our proposed method.

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  - Yulian Xiao
AU  - Liyu Gong
PY  - 2013/04
DA  - 2013/04
TI  - Real-Time 3D Hand Tracking from Depth Images
BT  - Proceedings of the 2nd International Conference On Systems Engineering and Modeling (ICSEM 2013)
PB  - Atlantis Press
SP  - 1119
EP  - 1122
SN  - 1951-6851
UR  - https://doi.org/10.2991/icsem.2013.238
DO  - 10.2991/icsem.2013.238
ID  - Song2013/04
ER  -