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      • Faculty of Engineering
      • Department of Electrical and Electronics Engineering
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      Correlation tracking based on wavelet domain information

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      Author
      İpek, H. L.
      Yılmaz, İ.
      Yardımcı, Y. C.
      Çetin, A. Enis
      Date
      2004
      Source Title
      Proceedings of SPIE Vol. 5204, Signal and Data Processing of Small Targets 2003
      Print ISSN
      0277-786X
      Publisher
      SPIE
      Volume
      5204
      Pages
      97 - 105
      Language
      English
      Type
      Conference Paper
      Item Usage Stats
      154
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      115
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      Abstract
      Tracking moving objects in video can be carried out by correlating a template containing object pixels with pixels of the current frame. This approach may produce erroneous results under noise. We determine a set of significant pixels on the object by analyzing the wavelet transform of the template and correlate only these pixels with the current frame to determine the next position of the object. These significant pixels are easily trackable features of the image and increase the performance of the tracker.
      Keywords
      Algorithms
      Computational complexity
      Correlation methods
      Costs
      Motion estimation
      Natural frequencies
      Correlation tracking
      Wavelets
      Wavelet transforms
      Permalink
      http://hdl.handle.net/11693/27460
      Published Version (Please cite this version)
      https://doi.org/10.1117/12.507932
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      • Department of Electrical and Electronics Engineering 3613
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