Detection of aberrant behaviour in home environments from video sequence

  • Zdenka Uhríková
  • Chris D. Nugent
  • David Craig
  • Václav Hlaváč
Article

DOI: 10.1007/s12243-010-0179-x

Cite this article as:
Uhríková, Z., Nugent, C.D., Craig, D. et al. Ann. Telecommun. (2010) 65: 571. doi:10.1007/s12243-010-0179-x

Abstract

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 

Copyright information

© Institut Télécom and Springer-Verlag 2010

Authors and Affiliations

  • Zdenka Uhríková
    • 1
  • Chris D. Nugent
    • 2
  • David Craig
    • 3
  • Václav Hlaváč
    • 1
  1. 1.Czech Technical University in PraguePragueCzech Republic
  2. 2.School of Computing and MathematicsUniversity of UlsterJordanstownUK
  3. 3.Belfast City HospitalQueen’s University of BelfastBelfastUK

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