Proceedings of the 2013 International Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013)

An Improved Gesture Tracking Algorithm Based On Depth Image Information

Authors
Quan Yang
Corresponding Author
Quan Yang
Available Online August 2013.
DOI
https://doi.org/10.2991/icacsei.2013.64How to use a DOI?
Keywords
Depth image, Kinect, DI_CamShift, sign language gesture tracking.
Abstract
An improved Depth Image CamShift (DI_CamShift) algorithm is proposed to realize the accurate tracking of gestures in the sign language video. First, it used Kinect to obtain the depth image information of sign language gestures. Then it adjusted the search window by calculated spindle direction angle and mass center position of the depth images. Finally, the calculation of minimum depth information value in the search window was used to determine the target gesture area. Experiments results show that the algorithm has good robustness and can effectively track the sign language gestures.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2013 International Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013)
Part of series
Advances in Intelligent Systems Research
Publication Date
August 2013
ISBN
978-90-78677-74-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/icacsei.2013.64How 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  - Quan Yang
PY  - 2013/08
DA  - 2013/08
TI  - An Improved Gesture Tracking Algorithm Based On Depth Image Information
BT  - 2013 International Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/icacsei.2013.64
DO  - https://doi.org/10.2991/icacsei.2013.64
ID  - Yang2013/08
ER  -