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Anomaly Detection In Surveillance Videos

"The goal of a practical anomaly detection system is to timely signal an activity that deviates normal patterns and identify the time window of the occurring anomaly. [It] can be considered as coarse level video understanding, which filters out anomalies from normal patterns." A critical task in video surveillance is detecting anomalous events such as traffic accidents, crimes or illegal activities. Anomalous events rarely occur as compared to normal activities. Hence the application of this task is to "alleviate the waste of labor and time, developing intelligent computer vision algorithms for automatic video anomaly detection".

(Credit: Real-world Anomaly Detection in Surveillance Videos)

Papers

Showing 6166 of 66 papers

TitleStatusHype
Anomaly Detection in Video Sequence With Appearance-Motion Correspondence0
Hybrid Deep Network for Anomaly DetectionCode0
Anomaly Detection in Video Sequence with Appearance-Motion CorrespondenceCode0
Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly DetectionCode0
Are pre-trained CNNs good feature extractors for anomaly detection in surveillance videos?0
Abnormal event detection on BMTT-PETS 2017 surveillance challengeCode0
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