IS = { zkontrolovano 29 Mar 2015 },
  UPDATE  = { 2015-03-28 },
  author =      {Kondermann, Daniel and Abraham, Steffen and Brostow,
                  Gabriel J.  and F{\"{o}}rstner, Wolfgang and Gehrig,
                  Stefan and Imiya, Atsushi and J{\"{a}}hne, Bernd and
                  Klose, Felix and Magnor, Marcus A. and Mayer, Helmut
                  and Mester, Rudolf and Pajdla, Tomas and Reulke,
                  Ralf and Zimmer, Henning},
  title =       {On Performance Analysis of Optical Flow Algorithms},
  year =        {2012},
  pages =       {329-355},
  book_pages =  {443},
  booktitle =   {Outdoor and Large-Scale Real-World Scene Analysis:
                  15th International Workshop on Theoretical
                  Foundations of Computer Vision},
  volume     = {7474},
  series     = {LNCS},
  isbn = {978-3-642-34090-1},
  publisher =   {Springer-Verlag},
  address =     {Berlin, Germany},
  month =	{June-July},
  day =		{26-1},
  venue =	{Dagstuhl Castle, Germany},
  annote = {Literally thousands of articles on optical flow algorithms
                  have been published in the past thirty years. Only a
                  small subset of the suggested algorithms have been
                  analyzed with respect to their performance. These
                  evaluations were based on black-box tests, mainly
                  yielding information on the average accuracy on
                  test-sequences with ground truth. No theoretically
                  sound justification exists on why this approach
                  meaningfully and/or exhaustively describes the
                  properties of optical flow algorithms. In practice,
                  design choices are often made based on unmotivated
                  criteria or by trial and error. This article is a
                  position paper questioning current methods in
                  performance analysis. Without empirical results, we
                  discuss more rigorous and theoretically sound
                  approaches which could enable scientists and
                  engineers alike to make sufficiently motivated
                  design choices for a given motion estimation task.},
  keywords =	 {Black boxes; Ground truth; Optical flow algorithm;
                  Performance analysis; Position papers; Scientists
                  and engineers; Trial and error},
  project =	 {FP7-SPACE-241523 PRoViScout only EU},