tianyu0207/RTFM
Official code for 'Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning' [ICCV 2021]
This project helps security personnel automatically identify unusual or suspicious events in surveillance footage. You provide video data, and the system flags specific time segments where anomalies occur, allowing security staff to efficiently review only the critical moments. This is for security analysts, monitoring station operators, or anyone managing large-scale video surveillance systems.
337 stars.
Use this if you need to detect unusual activities in long surveillance videos without having to manually label every normal or abnormal event.
Not ideal if you require real-time anomaly detection for immediate alerts or if your videos contain highly diverse and unpredictable 'normal' behaviors.
Stars
337
Forks
81
Language
Python
License
—
Category
Last pushed
Oct 29, 2025
Commits (30d)
0
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