Dickinson, Patrick and Hunter, Andrew (2008) Using inactivity to detect unusual behavior. In: IEEE Workshop on Motion and video Computing, 2008. WMVC 2008. , 8-9 January 2008, Copper Mountain, Colorado, US.
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We present a novel method for detecting unusual modes
of behavior in video surveillance data, suitable for supporting home-based care of elderly patients. Our approach is based on detecting unusual patterns of inactivity.
We first learn a spatial map of normal inactivity for an observedscene, expressed as a two-dimensional mixture of Gaus-sians. The map components are used to construct a HiddenMarkov Model representing normal patterns of behavior. Athreshold model is also inferred, and unusual behavior de-tected by comparing the model likelihoods. Our learning procedures are unsupervised, and yield a highly transparent model of scene activity. We present an evaluation of our pproach, and show that it is effective in detecting unusual bhavior across a range of parameter settings.
|Item Type:||Conference or Workshop Item (Paper)|
|Keywords:||computer vision, Behaviour, Pattern recognition, Automated|
|Subjects:||G Mathematical and Computer Sciences > G740 Computer Vision|
|Divisions:||College of Science > School of Computer Science|
|Deposited By:||Patrick Dickinson|
|Deposited On:||16 Jan 2009 09:43|
|Last Modified:||27 Aug 2013 18:33|
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