2nd International Conference On Systems Engineering and Modeling (ICSEM-13)

Real-Time 3D Hand Tracking from Depth Images

Authors
Lin Song, Ruimin Hu, Yulian Xiao, Liyu Gong
Corresponding Author
Lin Song
Available Online April 2013.
DOI
https://doi.org/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.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2nd International Conference On Systems Engineering and Modeling (ICSEM-13)
Part of series
Advances in Intelligent Systems Research
Publication Date
April 2013
ISBN
978-94-91216-42-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/icsem.2013.238How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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  - 2nd International Conference On Systems Engineering and Modeling (ICSEM-13)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/icsem.2013.238
DO  - https://doi.org/10.2991/icsem.2013.238
ID  - Song2013/04
ER  -