Proceedings of the 2013 International Conference on Advanced ICT and Education

Depth and Skeleton Information Model for Kinect Based Hand Segmentation

Authors
Zhenhao Huang, Zeke Xu, Zhiyuan Li, Zhuoxiong Zhao, Dapeng Tao
Corresponding Author
Zhenhao Huang
Available Online August 2013.
DOI
https://doi.org/10.2991/icaicte.2013.124How to use a DOI?
Keywords
Human-Computer interaction, hand segmentation, depth information, skeleton information, Kinect
Abstract
With the rapid development of the low-cost Microsoft Kinect, hand segmentation has been a resurgence of broad interest. This is because the depth and skeleton information provided by the Kinect opens an innovative way for hand segmentation. In this paper, we propose a new scheme for hand detection and segmentation based on depth and skeleton information. We conduct experiments on our new collect RGB and depth image pairs. The results demonstrate the robustness and ef-fectiveness of our proposed model.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Proceedings
2013 International Conference on Advanced ICT and Education (ICAICTE-13)
Part of series
Advances in Intelligent Systems Research
Publication Date
August 2013
ISBN
978-90786-77-79-6
ISSN
1951-6851
DOI
https://doi.org/10.2991/icaicte.2013.124How 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  - Zhenhao Huang
AU  - Zeke Xu
AU  - Zhiyuan Li
AU  - Zhuoxiong Zhao
AU  - Dapeng Tao
PY  - 2013/08
DA  - 2013/08
TI  - Depth and Skeleton Information Model for Kinect Based Hand Segmentation
BT  - 2013 International Conference on Advanced ICT and Education (ICAICTE-13)
PB  - Atlantis Press
SP  - 605
EP  - 609
SN  - 1951-6851
UR  - https://doi.org/10.2991/icaicte.2013.124
DO  - https://doi.org/10.2991/icaicte.2013.124
ID  - Huang2013/08
ER  -