Depth and Skeleton Information Model for Kinect Based Hand Segmentation

DOI

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.

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  - 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  - Proceedings of the 2013 International Conference on Advanced ICT and Education
PB  - Atlantis Press
SP  - 605
EP  - 609
SN  - 1951-6851
UR  - https://doi.org/10.2991/icaicte.2013.124
DO  - 10.2991/icaicte.2013.124
ID  - Huang2013/08
ER  -