FALSE ALARM REDUCTION FOR IMAGING INFRARED SURVEILLANCE SYSTEMS

被引:0
|
作者
Kim, Tae Han [1 ]
Song, Taek Lyul [1 ]
机构
[1] Hanyang Univ, Seoul, South Korea
关键词
Imaging infrared surveillance systems; false alarm rate; region splitting and merging; histogram modification; mirror image; track management;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
A background clutter rejection method is presented to reduce false alarm rate and detect targets robustly for imaging infrared surveillance systems. The algorithm consists of the following 4 steps; 1) region splitting and merging; 2) histogram modification; 3) mirror image for horizontal line removal; 4) track management with multi-target tracking. Experimental results indicate that the proposed algorithm has upgraded target detection rate with reduced false alarm rate.
引用
收藏
页码:591 / 596
页数:6
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