Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)

An algorithm based on ViBe for detecting moving objects in industrial field

Authors
Rui-guang Luo, Jiang-hua Yang
Corresponding Author
Rui-guang Luo
Available Online April 2016.
DOI
10.2991/ameii-16.2016.237How to use a DOI?
Keywords
Computer Vision, Motion Detection, Industrial Field, ViBe, Gost, Interference
Abstract

In many industrial fields, there always exists mechanical regular movements, for example, the movements of reciprocating pumps in an oil field, which brings limitation for the detection. The tranditional methods including background subtraction cannot be used directly. In order to fit the scene with regular reciprocating movements, a new method based on ViBe is proposed in this paper. The new method divides the frame into two parts, dynamic region and static region. Improved algorithm of ViBe is used to detect moving target in static region. The improved algorithm has a strong anti-interference performance and effectly eliminate the ghost area, which makes the improved algorithm fit different industral scene.

Copyright
© 2016, 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 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)
Series
Advances in Engineering Research
Publication Date
April 2016
ISBN
10.2991/ameii-16.2016.237
ISSN
2352-5401
DOI
10.2991/ameii-16.2016.237How to use a DOI?
Copyright
© 2016, 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  - Rui-guang Luo
AU  - Jiang-hua Yang
PY  - 2016/04
DA  - 2016/04
TI  - An algorithm based on ViBe for detecting moving objects in industrial field
BT  - Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-16.2016.237
DO  - 10.2991/ameii-16.2016.237
ID  - Luo2016/04
ER  -