Using inactivity to detect unusual behavior

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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Using Inactivity to Detect Unusual behavi
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Abstract

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
ID Code:1753
Deposited By: Patrick Dickinson
Deposited On:16 Jan 2009 09:43
Last Modified:27 Aug 2013 18:33

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