IS = { zkontrolovano 12 Jan 2012 },
  UPDATE  = { 2011-12-29 },
  author =      {Zimmermann, Karel and Hurych, David and Svoboda, Tom{\' a}{\v s}},
  title =       {Improving Cascade of Classifiers by Sliding 
                 Window Alignment in Between},
  year =        {2011},
  pages =       {196-201},
  booktitle =   {Proceedings of the Fifth International Conference 
                 on Automation, Robotics and Applications},
  editor =      {Gupta, G. Sen and Bailey, Donald and Demidenko, Serge and Carnegie, Dale},
  publisher =   {Massey University},
  address =     {Private Bag 11 222, Palmerston North, New Zealand},
  isbn =        {978-1-4577-0328-7},
  book_pages =  {502},
  month =       {December},
  day =         {6-8},
  venue =       {Wellington, New Zealand},
  organization ={School of Engineering and Advanced Technology, Massey University},
  annote =      {We improve an object detector based on cascade of
    classifiers by a local alignment of the sliding window. The
    detector needs to operate on a relatively sparse grid in order to
    achieve a real time performance on high-resolution images. The
    proposed local alignment in the middle of the cascade improves its
    recognition performance whilst retaining the necessary speed. We
    show that the moment of the alignment matters and discuss the
    performance in terms of false negatives and false positives. The
    proposed method is tested on a car detection problem.},
  keywords =    {detection, alignment, sliding window, 
                 predictors, ferns, cascade classifier},
  prestige =    {international},
  authorship =  {40-40-20},
  note =        {CD-ROM},
  project =     {GACR P103/11/P700, SGS11/125/OHK3/2T/13, 
                 FP7-ICT-247870 NIFTi, GACR P103/10/1585},
  url =		{ftp://cmp.felk.cvut.cz/pub/cmp/articles/hurycd1/icara2011.pdf},
  psurl = {[zimmermann-ICARA2011.pdf] },