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Anomaly Detection In Surveillance Videos

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

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Real-world Anomaly Detection in Surveillance Videos

CVPR 2018 root-master/pose-anomaly-detection

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