An Improved Gesture Tracking Algorithm Based On Depth Image Information

DOI

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.

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/).

Download article (PDF)

TY  - CONF
AU  - Quan Yang
PY  - 2013/08
DA  - 2013/08
TI  - An Improved Gesture Tracking Algorithm Based On Depth Image Information
BT  - Proceedings of the 2013 International Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013)
PB  - Atlantis Press
SP  - 257
EP  - 260
SN  - 1951-6851
UR  - https://doi.org/10.2991/icacsei.2013.64
DO  - 10.2991/icacsei.2013.64
ID  - Yang2013/08
ER  -