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文章基本信息

  • 标题:The Improvement of Mean-Shift Algorithm in Target Tracking
  • 本地全文:下载
  • 作者:Danping Jia ; Lifeng Zhang ; Chunhua Li
  • 期刊名称:International Journal of Security and Its Applications
  • 印刷版ISSN:1738-9976
  • 出版年度:2015
  • 卷号:9
  • 期号:2
  • 页码:21-28
  • DOI:10.14257/ijsia.2015.9.2.03
  • 出版社:SERSC
  • 摘要:The bandwidth of kernel function is invariance in Mean-Shift tracking process which led to the problem of actual process of tracking failure. To solve this question a method is proposed to combine object contour, RGB color histogram and Mean-Shift tracking algorithm. In each frame the contour and color feature of target object are extracted to as a model. Meanwhile the size of contour is used as the bandwidth for kernel function in the next frame. Based on this Method the accuracy of Mean-Shift tracking is improved and the error of Mean-Shift tracking is reduced.
  • 关键词:Bilateral filtering; Contour extraction; Mean-Shift kernel function; Tracking ; target
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