@TechReport{Vojir-TR-2012-14,
  IS = { zkontrolovano 15 Jan 2013 },
  UPDATE  = { 2012-10-01 },
author =      {Voj{\'\i }{\v r}, Tom{\'a}{\v s} and Matas, Ji{\v r}{\'\i }},
title =       {Increasing Robustness of the Flock of Trackers},
institution = {Center for Machine Perception, K13133 FEE
               Czech Technical University},
address =     {Prague, Czech Republic},
year =        {2012},
month =       {June},
type =        {Research Report},
number =      {CTU--CMP--2012--14},
issn =        {1213-2365},
pages =       {20},
figures =     {11},
psurl       = {[Vojir-TR-2012-14.pdf]},
project =     {GACR P103/12/G084, HS Toyota},
annote =      {The paper presents contributions to the design of the
    Flock of Trackers (FoT). The FoT trackers estimate the pose of the
    tracked object by robustly combining displacement estimates from a
    subset of predicted local trackers that cover the object. The
    first contribution, called the Cell FoT, allows local trackers to
    drift to points good to track. The Cell FoT was compared with the
    Kalal et al. Grid FoT and outperformed it on all sequences but one
    and for all local failure prediction methods. As a second
    contribution, we introduce two new predictors of local tracker
    failure - the neighbourhood consistency predictor (Nh) and the
    Markov predictor (Mp) and show that the new predictors combined
    with the normalized cross-correlation (NCC) predictor are more
    powerful and almost two times faster than the predictor based on
    normalized cross-correlation (NCC) and forward-backward procedure
    (FB). The resulting tracker equipped with the new predictors
    combined with the normalized cross-correlation predictor was
    compared with state-of-the-art tracking algorithms and surpassed
    them in terms of the number of sequences where a given tracking
    algorithm performed best.},
keywords =    {tracking, predictors, flock},
}