Improved Moving Target Detection Based on Multi-Model Mean Model

被引：1
作者：
Wang, Weiwei [1 ]
Gao, Deyong [1 ]
Wang, Yangping [2 ,3 ]
Gao, Decheng [4 ]
机构：
[1] Lanzhou Jiaotong Univ, Sch Elect & Informat Engn, Lanzhou, Gansu, Peoples R China
[2] Gansu Prov Engn Res Ctr Artificial Intelligence &, Lanzhou, Gansu, Peoples R China
[3] Gansu Prov Key Lab Syst Dynam & Reliabil Rail Tra, Lanzhou, Gansu, Peoples R China
[4] Gansu Inst Metrol, Lanzhou, Gansu, Peoples R China
来源：
2018 4TH INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND MATERIAL APPLICATION | 2019年 / 252卷
基金：
中国国家自然科学基金;
关键词：
D O I：
10.1088/1755-1315/252/5/052134
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Aiming at the problem of low detection accuracy of multi-mode mean model in complex scenarios, an improved detection method of moving target based on multi-mode mean model is proposed.Firstly, the background model is constructed using the multi-mode mean value model.According to different scene information, different thresholds are set and adjusted adaptively.The foreground image obtained by background difference method is detected by frame difference method, and the experiment is compared and analyzed.The detection rate and the error rate are reduced, and the detection accuracy is improved. Finally, the simulation results of three-segment video verify the effectiveness of the proposed method.
引用
收藏
页数：7
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