Detection of aberrant behaviour in home environments from video sequence

作者：Uhrikova Zdenka^*; Nugent Chris D; Craig David; Hlavac Vaclav

来源：Annales des Telecommunications, 2010, 65(9-10): 571-581.

DOI：10.1007/s12243-010-0179-x

• Aberrant behaviour
• Dementia
• Video processing

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.

• 出版日期2010-10