@InProceedings{ellis-iccv2007,
  IS = { zkontrolovano 05 May 2008 },
  UPDATE  = { 2008-05-02 },
  author =      {Liam Ellis and Ji{\v r}{\' i} Matas and
                 Nicholas Dowson and Richard Bowden},
  title =       {Linear Predictors for Fast Simultaneous Modeling and Tracking},
  year =        {2007},
  pages =       {8},
  booktitle =   { Workshop on Non-rigid Registration and Tracking
                  through Learning -  NRTL, at ICCV 2007: Proceedings
                  of Eleventh IEEE International Conference on
                  Computer Vision},
  editor =      {Dimitris Metaxas and Baba Vemuri and
                 Amnon Shashua and Harry Shum},
  publisher =   {IEEE Computer Society Press},
  address =     {Los Alamitos, USA},
  isbn =        {978-1-4244-1631-8},
  book_pages =  {2240},
  month =       {October},
  day =         {14-20},
  venue =       {Rio de Janeiro, Brazil},
  organization ={IEEE Computer Society},
  annote = { An approach for fast tracking of arbitrary image features
     with no prior model and no offline learning stage is presented.
     Fast tracking is achieved using banks of linear displacement
     predictors learnt online. A multi-modal appearance model is also
     learnt on-the-fly that facilitates the selection of subsets of
     predictors suitable for prediction in the next frame. The approach
     is demonstrated in real-time on a number of challenging video
     sequences and experimentally compared to other simultaneous
     modeling and tracking approaches with favourable results. },
  keywords =    {tracking, linear predictor},
  authorship =  {25-25-25-25},
  note =        {CDROM},
  project =     {FP6-IST-004176, 1M0567},
  psurl       = {[PDF]},
  www =         {  Jiri Matas  },
}