Investigation of mixture of Gaussians method for background subtraction in traffic surveillance

被引：3
作者：
Nikolov, Boris [1 ]
Kostov, Nikolay [1 ]
Yordanova, Slava [2 ]
机构：
[1] Department of Communication Technologies, Faculty of Electronics, Technical University of Varna, 9010 Varna
[2] Department of Computer Science and Engineering, Faculty of Computing and Automation, Technical University of Varna, 9010 Varna
来源：
International Journal of Reasoning-based Intelligent Systems | 2013年 / 5卷 / 03期
关键词：
Background subtraction; Mixture of Gaussians; MoG; Motion detection; Video surveillance;
D O I：
10.1504/IJRIS.2013.058186
中图分类号：
学科分类号：
摘要：
Many background subtraction techniques have been developed in the past years to improve the precision of motion detection in video surveillance systems. Separating the moving objects from the background is a goal in every modern video surveillance system. Mixture of Gaussians (MoG) is one of the most complex methods used for motion detection in video sequences. This paper further investigates the MoG method. The algorithm is implemented in MATLAB and a typical traffic video is estimated. The accuracy of the algorithm is measured as a function of each variable parameter. An optimal set of parameters along with a filter are proposed in order to increase the performance. Copyright © 2013 Inderscience Enterprises Ltd.
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收藏
页码：161 / 168
页数：7
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