@InProceedings{obdrzalek12realtime,
  IS = { zkontrolovano 01 Jan 2015 },
  UPDATE  = { 2014-12-16 },
  key =         {obdrzalek12realtime},
  author =      {Obdr{\v z}{\' a}lek, {\v S}t{\v e}p{\' a}n and
                  Kurillo, Gregorij and Han, Jay  and Abresch,Ted  and
                  Bajcsy, Ruzena },
  affiliation = {NULL-NULL-NULL-NULL-NULL},
  authorship =  {60-20-10-5-5 },
  title =       {Real-Time Human Pose Detection and Tracking for Tele-Rehabilitation in Virtua
l Reality},
  year =        {2012},
  pages =       {320-324},
  booktitle =   {Medicine Meets Virtual Reality 19},
  editor =      {James D. Westwood, Susan W. Westwood, Li Fell{\" a}nder-Tsai, Randy S. Haluck
, Richard A. Robb, Steven Senger, Kirby G. Vosburgh},
  publisher =   {IOS Press},
  address =     {Nieuwe Hemweg 6B, 1013 BG, Amsterdam, Netherlands},
  isbn =        {978-1-61499-021-5},
  volume =      {19},
  series =      {Studies in Health Technology and Informatics},
  number =      {173},
  book_pages =  {575},
  month =       {February},
  day = {15},
  venue =       {Newport Beach Marriott Hotel, Newport Beach, California, USA},
  organization ={NextMed},
  annote =      {We present a real-time algorithm for human pose
                  detection and tracking from v ision-based 3D data
                  and its application to tele-rehabilitation in
                  virtual environments. We emp loy stereo camera(s) to
                  capture 3D avatars of geographically dislocated
                  patient and therapist in real-time, while sending
                  the data remotely and displaying it in a virtual
                  scene. A pose det ection and tracking algorithm
                  extracts kinematic parameters from each participant
                  and determin es pose similarity. The pose similarity
                  score is used to quantify patient's performance and
                  pr ovide real-time feedback for remote
                  rehabilitation.},
  keywords =    {Tele-rehabilitation, human pose estimation and tracking, stereo vision},
  prestige =    {international},
  project =     {National Science Foundation (NSF) grants STC CCF-0424422, CPS-0931437, CDI-09 41382, IIS-0438125,
                  BPC-AE-0634516 , CITRIS at UC Berkeley },
  doi =         {10.3233/978-1-61499-022-2-320},
}