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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 1120 of 66 papers

TitleStatusHype
Learning Memory-guided Normality for Anomaly DetectionCode1
Localizing Anomalies from Weakly-Labeled VideosCode1
Anomaly Detection in Video via Self-Supervised and Multi-Task LearningCode1
Aligning First, Then Fusing: A Novel Weakly Supervised Multimodal Violence Detection MethodCode1
Learning Prompt-Enhanced Context Features for Weakly-Supervised Video Anomaly DetectionCode1
BatchNorm-based Weakly Supervised Video Anomaly DetectionCode1
A Background-Agnostic Framework with Adversarial Training for Abnormal Event Detection in VideoCode1
Attention-based residual autoencoder for video anomaly detectionCode1
Audio-Guided Attention Network for Weakly Supervised Violence DetectionCode1
Learning Weakly Supervised Audio-Visual Violence Detection in Hyperbolic SpaceCode1
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