Background Estimation Based on Fuzzy Model for Thermal Video Surveillance

被引：0
|
作者：
Jeevarajan, M. . K. [1 ]
Kumar, P. Nirmal [1 ]
机构：
[1] Coll Engn, Dept ECE, Madras, Tamil Nadu, India
来源：
FIRST INTERNATIONAL CONFERENCE ON EMERGING TRENDS IN ENGINEERING, TECHNOLOGY AND SCIENCE - ICETETS 2016 | 2016年
关键词：
Background estimation; fuzzy logic; Background extraction;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Background extraction is considered the first and key processing stage in video surveillance systems. This paper proposed an novel fuzzy architecture for background estimation. fuzzy architecture was built based on mamdani based fuzzy model and we used mean ,median and mode values as membership function. Background estimated by using this system is robust to adaptive background, and varying illumination conditions. Our experimental results demonstrate that proposed system is more efficient, robust and accurate than classical approaches.
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页数：5
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