IS = { zkontrolovano 04 Feb 2011 },
  UPDATE  = { 2011-01-14 },
  author    = {Kalal, Zdenek and 
               Mikolajczyk, Krystian and
               Matas, Ji{\v r}{\' i} },
  title     = {Forward-Backward Error: Automatic Detection of Tracking Failures},
  booktitle =    {{ICPR}'2010: Proceedings of the 20th International
                  Conference on Pattern Recognition},
  year      = {2010},
  issn      = {1051-4651},
  venue     = {Istanbul, Turkey},
  day       = {23--26},
  month     = {August},
  year      = {2010},
  pages     = {2756--2760},
  book_pages = {4200},
  annote = { This paper proposes a novel method for tracking fail ure
    detection. The detection is based on the Forward-Backward error,
    i.e. the tracking is performed forward and backward in time and the
    discrepancies between these two trajectories are measured. We
    demonstrate that the proposed error enables reliable detection of
    tracking failures and selection of reliable trajectories in video
    sequences. We demonstrate that the approach is complementary to
    commonly used normalized cross-correlation (NCC). Based on the
    error, we propose a novel object tracker called Median Flow.
    State-of-the-art performance is achieved on challenging benchmark
    video sequences which include non-rigid objects. },
  keywords = {tracking, failure detection},
  authorship = {34-33-33},
  prestige = {important},
  publisher = {IEEE Computer Society},
  address = {10662 Los Vaqueros Circle, Los Alamitos, USA},
  editor = {Roy Sterritt},
  project = {ICT-215078 DIPLECS},
  isbn = {978-0-7695-4109-9},