Robust moving region boundary extraction using second order statistics

  • Authors:

  • Astrit Rexhepi;Farzin Mokhtarian

  • Affiliations:

  • Centre for Vision, Speech, and Signal Processing, School of Electronics and Physical Sciences, University of Surrey, Guildford, United Kingdom;Centre for Vision, Speech, and Signal Processing, School of Electronics and Physical Sciences, University of Surrey, Guildford, United Kingdom

  • Venue:
  • SCIA'07 Proceedings of the 15th Scandinavian conference on Image analysis
  • Year:
  • 2007

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Abstract

This paper describes a novel method of extracting moving region boundaries from the frames of an image sequence by filtering information of the first temporal cooccurrence matrix using the corresponding matrix from the next frame. The method described in this paper does not make use of any threshold and it is very robust and efficient with respect to noise.