IS = { zkontrolovano 10 Mar 2015 },
  UPDATE  = { 2015-03-10 },
author =      {{\v S}m{\'\i}d, Mat{\v e}j and 
                Pytela, Ji{\v r}{\'\i} and 
                Matas, Ji{\v r}{\'\i}},
title =       {Multi-view Sport Player Tracking using Probabilistic Occupancy Maps},
institution = {Center for Machine Perception, K13133 FEE
               Czech Technical University},
address =     {Prague, Czech Republic},
year =        {2014},
month =       {December},
type =        {Research Report},
number =      {CTU--CMP--2014--30},
issn =        {1213-2365},
pages =       {20},
figures =     {16},
authorship =  {70-20-10},
project =     {830/8301434C000/13162},
annote =      {We present a robust solution for sport player tracking
               based on two major concepts. Information from multiple
               cameras is fused into a Probabilistic Occupancy Map for
               every frame. Player trajectories are then found in a
               sequence of Probabilistic Occupancy Maps using the
               K-Shortest Paths algorithm. We improved the image
               preprocessing phase and quantitatively evaluated the
               results on two datasets. The tracking system does not use
               visual cues to discriminate targets but still exhibits low
               number of identity switches. We demonstrate that the system
               does not need a redundant camera coverage of an observed
keywords =    {tracking, multi-view, team sport},
comment =     {Confidential. },