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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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)
Additional Information: 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.
Keywords: computer vision
Subjects: G Mathematical and Computer Sciences > G740 Computer Vision
Divisions: College of Sciences > Faculty of Science > Lincoln School of Computer Science
Depositing User: Patrick Dickinson
Date Deposited: 16 Jan 2009 09:43
Last Modified: 13 Mar 2013 08:30
URI: http://eprints.lincoln.ac.uk/id/eprint/1753

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