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Detection of abnormal behaviour in a surveillance environment using control charts

Detection of abnormal behaviour in a surveillance environment using control charts,10.1109/AVSS.2011.6027304,Stefan Hommes,Radu State,Andreas Zinnen,T

Detection of abnormal behaviour in a surveillance environment using control charts  
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This paper introduces a new approach to unsupervised detection of abnormalsequences 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-basedtracking process. We evaluate the performance of our method on a standard dataset and have implemented a publicly available opensource prototype.
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