Robust real-time unusual event detection using multiple fixed-location monitors

IEEE Transactions on Pattern Analysis and Machine Intelligence
Amit AdamDaviv Reinitz

Abstract

We present a novel algorithm for detection of certain types of unusual events. The algorithm is based on multiple local monitors which collect low-level statistics. Each local monitor produces an alert if its current measurement is unusual, and these alerts are integrated to a final decision regarding the existence of an unusual event. Our algorithm satisfies a set of requirements that are critical for successful deployment of any large-scale surveillance system. In particular it requires a minimal setup (taking only a few minutes) and is fully automatic afterwards. Since it is not based on objects' tracks, it is robust and works well in crowded scenes where tracking-based algorithms are likely to fail. The algorithm is effective as soon as sufficient low-level observations representing the routine activity have been collected, which usually happens after a few minutes. Our algorithm runs in realtime. It was tested on a variety of real-life crowded scenes. A ground-truth was extracted for these scenes, with respect to which detection and false-alarm rates are reported.

References

Aug 26, 2006·IEEE Transactions on Pattern Analysis and Machine Intelligence·Weiming HuSteve Maybank

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Citations

Aug 8, 2013·Sensors·Nor Surayahani SurianiMohd Asyraf Zulkifley
Aug 12, 2014·TheScientificWorldJournal·Xing HuLingkun Luo
Jul 16, 2011·Neural Networks : the Official Journal of the International Neural Network Society·Athanasios VoulodimosTheodora Varvarigou
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Nov 16, 2013·IEEE Transactions on Pattern Analysis and Machine Intelligence·Weixin LiNuno Vasconcelos
Sep 10, 2015·IEEE Transactions on Pattern Analysis and Machine Intelligence·Junseok Kwon, Kyoung Mu Lee
Sep 24, 2015·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Kai-Wen ChengWen-Hsien Fang
Sep 10, 2015·IEEE Transactions on Pattern Analysis and Machine Intelligence·Zhigang MaAlexander G Hauptmann
Jun 13, 2013·IEEE Transactions on Cybernetics·Myo ThidaPaolo Remagnino
Nov 5, 2013·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Cewu LuJiaya Jia
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Apr 25, 2017·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Roberto Leyva Chang-Tsun Li
Aug 7, 2021·Computational Intelligence and Neuroscience·Jiangfan FengLin Li

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