Reference : Detection of Abnormal Behaviour in a Surveillance Environment Using Control Charts
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/9534
Detection of Abnormal Behaviour in a Surveillance Environment Using Control Charts
English
Hommes, Stefan mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
State, Radu mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC)]
Zinnen, Andreas mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Engel, Thomas mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
2011
8th IEEE International Conference on Advanced Video and Signal-Based Surveillance, 2011
113-118
Yes
978-1-4577-0845-9
IEEE International Conference on Advanced Video and Signal based Surveillance (AVSS)
From 30-08-2011 to 02-09-2011
Klagenfurt
Austria
[en] This paper introduces a new approach to unsupervised detection of abnormal sequences of images in video surveillance data. We leverage an online object detection method and statistical process control techniques in order to identify suspicious sequences of events. Our method assumes a training phase in which the spatial distribution of objects is learned, followed by a chart-based tracking process. We evaluate the performance of our method on a standard dataset and have implemented a publicly available opensource prototype.
http://hdl.handle.net/10993/9534
8th
IEEE International Conference on Advanced Video and Signal based Surveillance (AVSS)

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