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文章基本信息

  • 标题:Precise Extraction of Moving Objects in Video Stream
  • 本地全文:下载
  • 作者:Mehrdad Panahpour Tehrani ; Akio Ishikawa ; Sei Naito
  • 期刊名称:Information and Media Technologies
  • 电子版ISSN:1881-0896
  • 出版年度:2010
  • 卷号:5
  • 期号:2
  • 页码:577-587
  • DOI:10.11185/imt.5.577
  • 出版社:Information and Media Technologies Editorial Board
  • 摘要:We propose an automatic and precise moving-object extraction method for use in video streams that can also be used for 3-D system applications. The method generates a statistical model for each pixel using several frames, and then uses it to generate trimap images. After manually initializing a frame, unknown regions are automatically determined either background or foreground for the rest of frames. The key technology proposed is an adaptive training scheme, which estimates detection thresholds locally through the algorithm, followed by matting approaches using an iterative process and weighted statistical distance minimization. Experiments demonstrate outperformance of our method for both indoor and outdoor video streams, and also for 3-D modeling and representation.
  • 关键词:Kernel density function estimation;Iterative local matting;Adaptive training;Weighted statistical distance.
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