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      • Department of Electrical and Electronics Engineering
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      Co-difference based object tracking algorithm for infrared videos

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      Author(s)
      Demir, H. Seçkin
      Çetin, A. Enis
      Date
      2016
      Source Title
      Proceedings of the IEEE International Conference on Image Processing, ICIP 2016
      Print ISSN
      1522-4880
      Publisher
      IEEE
      Pages
      434 - 438
      Language
      English
      Type
      Conference Paper
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      Abstract
      This paper presents a novel infrared (IR) object tracking algorithm based on the co-difference matrix. Extraction of co-difference features is similar to the well known covariance method except that the vector product operator is redefined in a multiplication-free manner. The new operator yields a computationally efficient implementation for real time object tracking applications. Experiments on an extensive set of IR image sequences indicate that the new method performs better than covariance tracking and other tracking algorithms without requiring any multiplication operations.
      Keywords
      Co-difference matrix
      Covariance features
      Infrared band
      Object tracking
      Surveillance
      Space surveillance
      Computationally efficient
      Multiplication operations
      Object tracking algorithm
      Real-time object tracking
      Permalink
      http://hdl.handle.net/11693/37733
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/ICIP.2016.7532394
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      • Department of Electrical and Electronics Engineering 4011
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