@article{uhrikova10AT,
  IS = { zkontrolovano 10 May 2011 },
  UPDATE  = { 2011-05-10 },
  author    = {Uhr{\' \i}kov{\'a}, Zdenka and Nugent, Chris D. and
               Craig, David  and Hlav{\'a}{\v c}, V{\'a}clav},
  title     = {Detection of aberrant behaviour in home 
               environments from video sequence},
  pages     = {571-581},
  journal   = {Annales des T{\'e}l{\'e}communications},
  issn      = {0003-4347},
  publisher = {Springer France},
  address   = {Paris, France},
  year      = {2010},
  month     = {October},
  volume    = {65},
  number    = {9-10},
  annote    = {We introduce an application for the detection of
    aberrant behaviour within home based environments, with a focus on
    repetitive actions, which may be present in instance of persons
    suffering from dementia. Video based analysis has been used to
    detect the motion of a person within a given scene in addition to
    tracking them over the time. Detection of repetitive actions has
    been based on the analysis of a person's trajectory using the
    principles of signal correlation. Along with the ability to detect
    repetitive motion the developed approach also has the ability to
    measure the amount of activity/inactivity within the scene during
    a given period of time. Our results showed that the developed
    approach had the ability to detect all patterns in the data set
    examined with an average accuracy of 96.67\%. This work has
    therefore validated the proposed concept of video based analysis
    for the detection of repetitive activities.},
  keywords  = {Aberrant behaviour, Dementia, Video processing},
  doi       = {10.1007/s12243-010-0179-x},
  ut_isi    = {000282178600010},
  project   = {1M0567},
}