An improved mixture of Gaussians model based on color and depth data

DOI

10.2991/isaeece-17.2017.86How to use a DOI?

Keywords

Background subtraction, Mixture of Gaussians model, Computer vision, Color and depth data combination

Abstract

In the traditional background subtraction algorithms based on color, in the special critical situation, such as face the challenges of shadows, color camouflage, illumination changes, they can't achieve good results. But depth data can solve such problems effectively, because depth sensor operating normally in the scene. We proposed an improved mixture of Gaussian model algorithm based on color and depth data in this paper, and use a new decision-making method to fuse results. In order to ensure the stability of the model, we have special treatment of the ADO area. We test our method in three datasets, the results show that proposed approach obtain good results.

Copyright

© 2017, 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  - Chao Wu
AU  - Hengzhu Liu
AU  - Zhengfa Liang
PY  - 2017/03
DA  - 2017/03
TI  - An improved mixture of Gaussians model based on color and depth data
BT  - Proceedings of the 2017 2nd International Symposium on Advances in Electrical, Electronics and Computer Engineering (ISAEECE 2017)
PB  - Atlantis Press
SP  - 454
EP  - 458
SN  - 2352-5401
UR  - https://doi.org/10.2991/isaeece-17.2017.86
DO  - 10.2991/isaeece-17.2017.86
ID  - Wu2017/03
ER  -