carolchenyx/MGFN.
This is the official repo of paper accepted in AAAI 2023 Oral.
This project helps security professionals and surveillance system operators automatically identify unusual or potentially dangerous events in long video feeds. It takes raw video footage from surveillance cameras and outputs detections of anomalous activities, highlighting segments that require human review. Security personnel responsible for monitoring large-scale surveillance systems are the primary users.
No commits in the last 6 months.
Use this if you need to detect anomalies in surveillance video without having precise labels for every abnormal event, relying instead on weak supervision.
Not ideal if you require real-time, ultra-low-latency anomaly detection for immediate intervention, or if you need to detect specific, predefined events rather than general anomalies.
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Python
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Last pushed
Apr 19, 2023
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