IS = { zkontrolovano 18 Jan 2009 },
  UPDATE  = { 2008-11-27 },
  author =       {Zimmermann, Karel and Svoboda, Tom{\'a}{\v s} and
                  Matas, Ji{\v r}{\'\i}},
  title =        {Simultaneous learning of motion and appearance},
  booktitle =    {The 1st International Workshop on Machine Learning
                  for Vision-based Motion Analysis, In conjunction
                  with the 10th European Conference on Computer Vision
  book_pages =   {204},
  pages =        {12},
  year =         {2008},
  month =        {October},
  day =          {17},
  venue =        {Maresille, France},
  authorship =   {50-30-20},
  project =      {1ET101210407, FP6-IST-027787, GACR 102/07/1317},
  keywords =     {tracking, real-time, motion estimation},
  url = {ftp://cmp.felk.cvut.cz/pub/cmp/articles/svoboda/Zimmermann-MLVMA2008.pdf},
  annote =       {A new learning method for motion estimation of
                  objects with significantly varying appearance is
                  proposed. Varying object appearance is represented
                  by a low dimensional space of appearance
                  parameters. The appearance mapping and motion
                  estimation method are optimized
                  simultaneously. Appearance parameters are estimated
                  by unsupervised learning. The method is
                  experimentally verified by a tracking application on
                  sequences which exhibit strong variable
                  illumination, non-rigid deformations and
                  self-occlusions. },
  publisher =    {INRIA Rhone-Alpes},
  address =      {Grenoble, France},