A Novel Hand Gesture Tracking Algorithm Fusing Camshift and Particle Filter

DOI

10.2991/aiie-15.2015.11How to use a DOI?

Keywords

hand gesture tracking; Camshift; Particle Filter; skin-colored interference

Abstract

This paper proposes an algorithm fusing the Particle Filter and Camshift for improving tracking performance. The algorithm creates a dynamic model which integrates the information of color and motion, uses Camshift to optimize the state of particles and embeds Camshift into Particle Filter. The experimental results show that the new algorithm can effectively handle skin-colored interference and hand gesture transformation, have better robustness when compared with the traditional tracking algorithm.

Copyright

© 2015, 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  - M.H. Yao
AU  - Q.L. Gu
AU  - X.B. Wang
AU  - W.X. He
AU  - Q. Shen
PY  - 2015/07
DA  - 2015/07
TI  - A Novel Hand Gesture Tracking Algorithm Fusing Camshift and Particle Filter
BT  - Proceedings of the 2015 International Conference on Artificial Intelligence and Industrial Engineering
PB  - Atlantis Press
SP  - 37
EP  - 40
SN  - 1951-6851
UR  - https://doi.org/10.2991/aiie-15.2015.11
DO  - 10.2991/aiie-15.2015.11
ID  - Yao2015/07
ER  -