IS = { zkontrolovano 16 Jan 2009 },
  UPDATE  = { 2008-09-05 },
  key =         {Thurau-HlavacPosePrimitivesCVPR2008},
  author =      {Thurau, Christian and Hlavac, Vaclav},
  title =       {Pose primitive based human action recognition in videos or still images},
  year =        {2008},
  pages =       {8},
  booktitle =   {CVPR 2008: Proceedings of the 2008 IEEE Computer Society
                 Conference on Computer Vision and Pattern Recognition},
  isbn =        {978-1-4244-2243-2},
  issn =        {1063-6919},
  book_pages =  {2954},
  publisher =   {Omnipress},
  address =     {Madison, USA},
  month =       {June},
  day =         {24-26},
  venue =       {Anchorage, Alaska, USA},
  organization ={IEEE Computer Society},
  annote = {This paper presents a method for recognizing human actions
    based on pose primitives. In learning mode, the parameters
    representing poses and activities are estimated from videos. In
    run mode, the method can be used both for videos or still
    images. For recognizing pose primitives, we extend a Histogram of
    Oriented Gradient (HOG) based descriptor to better cope with
    articulated poses and cluttered background. Action classes are
    represented by histograms of poses primitives. For sequences, we
    incorporate the local temporal context by means of n-gram
    expressions. Action recognition is based on a simple histogram
    comparison.  Unlike the mainstream video surveillance approaches,
    the proposed method does not rely on background subtraction or
    dynamic features and thus allows for action recognition in still
  keywords =    {motion primitives, video analysis, human motion detection},
  authorship =  {50-50},
  note =        {CD-ROM},
  project =     {MRTN-CT-2004-005439 VISIONTRAIN , 
                 MSM6840770038, ICT-215078 DIPLECS},
  psurl       = {[pdf, 745 KB] },