@InProceedings{Doubek-CVWW2008,
  IS = { zkontrolovano 05 Jan 2009 },
  UPDATE  = { 2008-03-12 },
 author =     {Doubek, Petr and Per{\v d}och, Michal and Matas, Ji{\v r}{\' i} and {\v S}ochman, Jan},
 title =      {Mobile Mapping of Vertical Traffic Infrastructure},
 booktitle =  {CVWW 2008: Proceedings of the 13th Computer Vision Winter Workshop},
 pages =      {115-122},
 year =       {2008},
 editor =     {Per{\v s}, Janez},
 month =      {February},
 day =        {4-6},
 publisher =  {Slovenian Pattern Recognition Society},
 address =    {Ljubljana, Slovenia},
 isbn =       {978-961-90901-4-5},
 book_pages = {130},
 venue =      {Moravske Toplice, Slovenia},
 authorship = {70-15-10-5},
 psurl =	    {[Doubek-CVWW2008.pdf]},
 projects = { CAS 1ET101210407, GACR 102/07/1317 },
 annote = { In this paper, we present a method for detection and
   localization of vertical traffic infrastructure using video
   sequences recorded by a survey vehicle. Search for pole-like
   structures in the images creates initial 2D hypotheses. They are
   fused on the groundplane to form 3D hypotheses which are finally
   verified and classified by search for the distinguished part of the
   infrastructure.  Each step is followed by pruning the set of
   hypotheses using SVM classifier.  The method was tested in a
   streetlight detection application with video sequences containing
   over one thousand streetlights.  },
 keywords =	 {trafic infrastructure detection, 
   recognition, SVM classifier},
}