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文章基本信息

  • 标题:Object Tracking Based on Time-Varying Saliency
  • 本地全文:下载
  • 作者:Sheng Xu ; Hong Huo ; Fang Tao
  • 期刊名称:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
  • 印刷版ISSN:2194-9042
  • 电子版ISSN:2194-9050
  • 出版年度:2008
  • 卷号:XXXVII Part B5
  • 页码:175-180
  • 出版社:Copernicus Publications
  • 摘要:Visual attention has been widely used in image pre-processing, since it can rapidly detect the region of interest in the given scene. This paper presents a novel technique to track the moving object, which is based on the motion saliency model. The salient region is computed by the combination of multi-feature maps and motion saliency map, which vastly reduce the amount of information in further image processing. Next, a single matching method, normalized color histogram, is used to measure the similarity for tracking processing. Experimental results, found in AVSS 07, are reported, which validate our model useful and effective
  • 关键词:Object; Tracking; Hierarchical; Matching; Machine vision
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