Depth and Skeleton Information Model for Kinect Based Hand Segmentation
Zhenhao Huang, Zeke Xu, Zhiyuan Li, Zhuoxiong Zhao, Dapeng Tao
Available Online August 2013.
- https://doi.org/10.2991/icaicte.2013.124How to use a DOI?
- Human-Computer interaction, hand segmentation, depth information, skeleton information, Kinect
- 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.
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 -