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文章基本信息

  • 标题:Improved Moving Target Detection Based on Multi-Model Mean Model
  • 本地全文:下载
  • 作者:Weiwei Wang ; Deyong Gao ; Yangping Wang
  • 期刊名称:IOP Conference Series: Earth and Environmental Science
  • 印刷版ISSN:1755-1307
  • 电子版ISSN:1755-1315
  • 出版年度:2019
  • 卷号:252
  • 期号:5
  • 页码:1-8
  • DOI:10.1088/1755-1315/252/5/052134
  • 出版社:IOP Publishing
  • 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.
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