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Effective reduction of false alarms in large-scale video surveillance is rather challenging, especially for applications where abnormal events of interest rarely occur, such as abandoned object detection. We develop an approach to prioritize alerts by ranking them, and demonstrate its great effectiveness in reducing false positives while keeping good detection accuracy. Our approach benefits from...
The complexity of modern networked information systems, as well as all the defense-in-depth best practices, require distributed intrusion detection architectures relying on the cooperation of multiple components. Similar solutions cause a multiplication of alerts, thus increasing the time needed for alert management and hiding the few critical alerts as needles in a hay stack. We propose an innovative...
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