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文章基本信息

  • 标题:Stable 2D Feature Tracking for Long Video Sequences
  • 本地全文:下载
  • 作者:Jong-Seung Park ; Jong-Hyun Yoon ; Chungkyue Kim
  • 期刊名称:International Journal of Signal Processing, Image Processing and Pattern Recognition
  • 印刷版ISSN:2005-4254
  • 出版年度:2008
  • 卷号:1
  • 期号:1
  • 出版社:SERSC
  • 摘要:In this paper, we propose a 2D feature tracking method that is stable to long video sequences. To improve the stability of long track- ing, we use trajectory information about 2D features. We predict the expected feature states and compute a rough estimate of the feature lo- cation on the current image frame using the history of previous feature states up to the current frame. A search window is positioned at the esti- mated location and similarity measures are computed within the search window. Once the feature position is determined from the similarity mea- sures, the current feature states are appended to the history bu®er. The outlier rejection stage is also introduced to reduce false matches. Ex- perimental results from real video sequences showed that the proposed method stably tracks point features for long frame sequences.
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