@string{accv="Proceedings of Asian Conference on Computer Vision"}
@string{lncs="Lecture Notes in Computer Science"}
@string{springer="Springer"}
@InProceedings{Kato-Pong2006,
  author =	 {Kato, Zoltan and Pong, Ting Chuen},
  title =	 {A Multi-Layer {MRF} Model for Video Object
                  Segmentation},
  booktitle =	 accv,
  pages =	 {953--962},
  year =	 2006,
  editor =	 {P. J. Narayanan and Shree K. Nayar and Heung-Yeung
                  Shum},
  volume =	 3852,
  series =	 lncs,
  address =	 {Hyderabad, India},
  month =	 jan,
  publisher =	 springer,
  pdf =		 {papers/accv2006.pdf},
  abstract =	 {A novel video object segmentation method is proposed
                  which aims at combining color and motion
                  information. The model has a multilayer structure:
                  Each feature has its own layer, called feature
                  layer, where a classical Markov random field (MRF)
                  image segmentation model is defined using only the
                  corresponding feature. A special layer is assigned
                  to the combined MRF model, called combined layer,
                  which interacts with each feature layer and provides
                  the segmentation based on the combination of
                  different features. Unlike previous methods, our
                  approach doesn’t assume motion boundaries being part
                  of spatial ones. Therefore a very important property
                  of the proposed method is the ability to detect
                  boundaries that are visible only in the motion
                  feature as well as those visible only in the color
                  one. The method is validated on synthetic and real
                  video sequences.}
}