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文章基本信息

  • 标题:IMAGE PROCESSING AND RECOGNITION ALGORITHM FOR TARGET TRACKING
  • 本地全文:下载
  • 作者:Liping Lu ; Jinfang Wang
  • 期刊名称:International Journal on Smart Sensing and Intelligent Systems
  • 印刷版ISSN:1178-5608
  • 出版年度:2016
  • 卷号:9
  • 期号:1
  • 页码:353-376
  • 出版社:Massey University
  • 摘要:to improve target tracking performance in dynamic target track system, this paper propose the processing method of positive and negative difference image to extract target information; research target image preprocessing algorithm, the separation and segmentation processing algorithm of target and background, target edge detection and extraction based on the collected images; use Laplace operator, Canny operator. Gauss-Laplace operator to gain target information and improved recognition target image effect, analyze the positive and negative difference image measure to solve the background subtraction interference between two sequence images. Through the actual image processing, The results shows the proposed processing method can clear gain target marginal information and target image particle center, control tracking platform can stably track the target, and give the comparison results.
  • 关键词:Target tracking; OUSU; Canny; difference image
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