Building the background mosaic of an image sequence (bibtex)
by Rémi Mégret, Caterina Saraceno
Abstract:
Images sequences present a high degree of redundancy because objects are repeated over the successive images. When their apparent displacements are well approximated by a simple parametric model, the whole sequence can be summed up by pasting together all the images onto a so called mosaic image. Then each image of the original sequence can be considered as a part of the final mosaic. When the displacements of distinct objects differ, we must choose which objects have to be represented and how. \bigskip \\ In this report a framework is presented that produces the mosaic image corresponding to the background object of an image sequence. It is based on the dominant motion assumption, that is the background motion is parametric and the background occupates the main part of the images. The foreground objects are localised by their different motion. This localisation is computed together with the background motion in an iterative method. The regions corresponding to the background are then pasted onto the mosaic image using classic methods adapted to our problem or a new pasting method based on the distance to the foreground objects that achieve clearer mosaics.
Reference:
Building the background mosaic of an image sequence (Rémi Mégret, Caterina Saraceno), Technical report, PRIP, TU Wien, 1999.
Bibtex Entry:
@TechReport{TR060,
  author =	 "R\'emi M\'egret and Caterina Saraceno",
  institution =	 "PRIP, TU Wien",
  number =	 "PRIP-TR-060",
  title =	 "Building the background mosaic of an image sequence",
  year =	 "1999",
  url =		 "ftp://ftp.prip.tuwien.ac.at/pub/publications/trs/tr60.ps.gz",
  abstract =	 "Images sequences present a high degree of redundancy
                  because objects are repeated over the successive
                  images. When their apparent displacements are well
                  approximated by a simple parametric model, the whole
                  sequence can be summed up by pasting together all
                  the images onto a so called mosaic image. Then each
                  image of the original sequence can be considered as
                  a part of the final mosaic. When the displacements
                  of distinct objects differ, we must choose which
                  objects have to be represented and how. \bigskip \\
                  In this report a framework is presented that
                  produces the mosaic image corresponding to the
                  background object of an image sequence. It is based
                  on the dominant motion assumption, that is the
                  background motion is parametric and the background
                  occupates the main part of the images. The
                  foreground objects are localised by their different
                  motion. This localisation is computed together with
                  the background motion in an iterative method. The
                  regions corresponding to the background are then
                  pasted onto the mosaic image using classic methods
                  adapted to our problem or a new pasting method based
                  on the distance to the foreground objects that
                  achieve clearer mosaics.",
}
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