Proceedings of the 2017 2nd International Symposium on Advances in Electrical, Electronics and Computer Engineering (ISAEECE 2017)

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

Authors
Chao Wu, Hengzhu Liu, Zhengfa Liang
Corresponding Author
Chao Wu
Available Online March 2017.
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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Volume Title
Proceedings of the 2017 2nd International Symposium on Advances in Electrical, Electronics and Computer Engineering (ISAEECE 2017)
Series
Advances in Engineering Research
Publication Date
March 2017
ISBN
10.2991/isaeece-17.2017.86
ISSN
2352-5401
DOI
10.2991/isaeece-17.2017.86How to use a DOI?
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/).

Cite this article

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  -