IS = { zkontrolovano 16 Jan 2009 },
  UPDATE  = { 2008-08-28 },
  author =      {Uhr{\'i}kov{\'a}, Zdenka and Nugent, Chris and 
                 Hlav{\'a}{\v c}, V{\'a}clav},
  title =       {The use of computer vision techniques to augment 
                 home based sensorised environments},
  year =        {2008},
  pages =       {2550-2553},
  booktitle =   {Proceedings of the 30th Annual International Conference of the
                 IEEE Engineering in Medicine and Biology Society},
  editor =      {Chon,Ki and Hudson, Donna and Lain, Andrew and Pan, Xiaochuan and
                 Bonato, Paolo and Vicini, Paolo and Khoo, Michael and 
                 Buetra, Robert and Jones, Richard and Layton, Bradley and
                 Patton, Jim  and Panescu, Dorin and Sloane, Elliot and
                 Lovell, Nigel and Monzon, Jorge},
  publisher =   {IEEE Computer Society Press},
  address =     {Los Alamitos, USA},
  isbn =        {978-1-4244-1815-2},
  book_pages =  {5929},
  month =       {August},
  day =         {20-24},
  venue =       {Vancouver, Canada},
  organization ={IEEE Computer Society},
  annote = {Technology within the home environment is becoming widely
    accepted as a means to facilitate independent
    living. Nevertheless, practical issues of detecting different
    tasks between multiple persons within the same environment along
    with managing instances of uncertainty associated with recorded
    sensor data are two key challenges yet to be fully solved. This
    work presents details of how computer vision techniques can be
    used as both alternative and complementary means in the assessment
    of behaviour in home based sensorised environments. Within our
    work we assessed the ability of vision processing techniques in
    conjunction with sensor based data to deal with instances of
    multiple occupancy. Our Results indicate that the inclusion of the
    video data improved the overall process of task identification by
    detecting and recognizing multiple people in the environment using
    color based tracking algorithm.},
  keywords =    {smart home},
  project =     {MEST-CT-021024 WARTHE, MSM6840770038},
  psurl = { [PDF] },