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Mohamed Mostafa Fouad

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Open access Sep 2026

HRM-Crime: A Hierarchical Relationship Model for Weakly Supervised Crime Anomaly Detection in Surveillance Video

Detecting anomalous behaviour in surveillance video is a high-impact application of machine learning, but supervision is available only at the video level: a set of temporal segments carries a single anomaly or normal label, with no per-segment ground truth. This is the Multiple Instance Learning setting. On the UCF-Cr...

Eslam Medhat Fathy Habib, Ayman Helmy, Mohamed Mostafa Fouad · 0 citations

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