Proceedings of the 2015 International Conference on Electrical, Computer Engineering and Electronics

Target Detection Algorithm Based on Improved Gaussian Mixture Model

Authors
Xiaomeng Wang, Dequn Zhao, Guangmin Sun, Xingwang Liu, Yanli Wu
Corresponding Author
Xiaomeng Wang
Available Online June 2015.
DOI
https://doi.org/10.2991/icecee-15.2015.163How to use a DOI?
Keywords
Gaussian mixture model. Improved Gaussian mixture model. moving object detection.
Abstract
With the traditional Gaussian mixture model being more sensitive to light and failing to react to changes of lighting, a variances and a mean update program under local illumination and global illumination mutations are puts forward respectively in this paper. More specifically, a divergent method to update the mean of each Gaussian distribution in the background model is proposed, following the analyses of the average grey value of current image frame and the absolute difference of the average grey value of the background model. An innovative update method to update the variance of Gaussian mixture model is also presented, based on the study of the absolute value of the pixel value and mean value. Experimental results show that the algorithm can not only detect moving targets in a relatively more complete manner, but also exhibits better adaptability and robustness for outdoor lighting mutation.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2015 2nd International Conference on Electrical, Computer Engineering and Electronics
Part of series
Advances in Computer Science Research
Publication Date
June 2015
ISBN
978-94-62520-81-3
ISSN
2352-538X
DOI
https://doi.org/10.2991/icecee-15.2015.163How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xiaomeng Wang
AU  - Dequn Zhao
AU  - Guangmin Sun
AU  - Xingwang Liu
AU  - Yanli Wu
PY  - 2015/06
DA  - 2015/06
TI  - Target Detection Algorithm Based on Improved Gaussian Mixture Model
BT  - 2015 2nd International Conference on Electrical, Computer Engineering and Electronics
PB  - Atlantis Press
SP  - 846
EP  - 850
SN  - 2352-538X
UR  - https://doi.org/10.2991/icecee-15.2015.163
DO  - https://doi.org/10.2991/icecee-15.2015.163
ID  - Wang2015/06
ER  -