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Anomaly Detection In Surveillance Videos

3 papers with code · Methodology
Subtask of Video · Anomaly Detection

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Real-world Anomaly Detection in Surveillance Videos

CVPR 2018 WaqasSultani/AnomalyDetectionCVPR2018

To avoid annotating the anomalous segments or clips in training videos, which is very time consuming, we propose to learn anomaly through the deep multiple instance ranking framework by leveraging weakly labeled training videos, i. e. the training labels (anomalous or normal) are at video-level instead of clip-level.

ACTIVITY RECOGNITION ANOMALY DETECTION IN SURVEILLANCE VIDEOS MULTIPLE INSTANCE LEARNING

Anomaly Detection in Video Sequence with Appearance-Motion Correspondence

17 Aug 2019nguyetn89/Anomaly_detection_ICCV2019

The training stage is performed using only videos of normal events and the model is then capable to estimate frame-level scores for an unknown input.

ANOMALY DETECTION IN SURVEILLANCE VIDEOS