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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 3140 of 66 papers

TitleStatusHype
Anomaly Detection in Video via Self-Supervised and Multi-Task LearningCode1
Diversity-Measurable Anomaly DetectionCode1
Dual‑detector Re‑optimization for Federated Weakly Supervised Video Anomaly Detection Via Adaptive Dynamic Recursive MappingCode1
FastAno: Fast Anomaly Detection via Spatio-temporal Patch TransformationCode1
ADNet: Temporal Anomaly Detection in Surveillance VideosCode1
A Background-Agnostic Framework with Adversarial Training for Abnormal Event Detection in VideoCode1
Iterative weak/self-supervised classification framework for abnormal events detectionCode1
Multiple Instance-Based Video Anomaly Detection using Deep Temporal Encoding-DecodingCode0
MTFL: Multi-Timescale Feature Learning for Weakly-Supervised Anomaly Detection in Surveillance VideosCode0
Anomaly Detection in Video Sequence with Appearance-Motion CorrespondenceCode0
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