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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
Distilling Aggregated Knowledge for Weakly-Supervised Video Anomaly Detection0
Multi-scale Bottleneck Transformer for Weakly Supervised Multimodal Violence DetectionCode1
MULDE: Multiscale Log-Density Estimation via Denoising Score Matching for Video Anomaly DetectionCode2
BatchNorm-based Weakly Supervised Video Anomaly DetectionCode1
VALD-GAN: video anomaly detection using latent discriminator augmented GAN0
STemGAN: spatio-temporal generative adversarial network for video anomaly detection0
A MIL Approach for Anomaly Detection in Surveillance Videos from Multiple Camera ViewsCode0
Learning Prompt-Enhanced Context Features for Weakly-Supervised Video Anomaly DetectionCode1
Learning Weakly Supervised Audio-Visual Violence Detection in Hyperbolic SpaceCode1
Contrastive-Regularized U-Net for Video Anomaly Detection0
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