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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

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Showing 26–50 of 66 papers

TitleStatusHype
MIST: Multiple Instance Self-Training Framework for Video Anomaly DetectionCode1
Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude LearningCode1
Iterative weak/self-supervised classification framework for abnormal events detectionCode1
Anomaly Detection in Video via Self-Supervised and Multi-Task LearningCode1
Online Anomaly Detection in Surveillance Videos with Asymptotic Bounds on False Alarm RateCode1
A Background-Agnostic Framework with Adversarial Training for Abnormal Event Detection in VideoCode1
Localizing Anomalies from Weakly-Labeled VideosCode1
Weakly and Partially Supervised Learning Frameworks for Anomaly DetectionCode1
Not only Look, but also Listen: Learning Multimodal Violence Detection under Weak SupervisionCode1
Learning Memory-guided Normality for Anomaly DetectionCode1
MIST: Multiple Instance Spatial Transformer NetworkCode1
Real-world Anomaly Detection in Surveillance VideosCode1
CRCL: Causal Representation Consistency Learning for Anomaly Detection in Surveillance Videos—0
Weakly-Supervised Anomaly Detection in Surveillance Videos Based on Two-Stream I3D Convolution Network—0
MTFL: Multi-Timescale Feature Learning for Weakly-Supervised Anomaly Detection in Surveillance VideosCode0
Abnormal Event Detection In Videos Using Deep Embedding—0
A Scalable and Generalized Deep Learning Framework for Anomaly Detection in Surveillance Videos—0
Distilling Aggregated Knowledge for Weakly-Supervised Video Anomaly Detection—0
VALD-GAN: video anomaly detection using latent discriminator augmented GAN—0
STemGAN: spatio-temporal generative adversarial network for video anomaly detection—0
A MIL Approach for Anomaly Detection in Surveillance Videos from Multiple Camera ViewsCode0
Contrastive-Regularized U-Net for Video Anomaly Detection—0
Generating Anomalies for Video Anomaly Detection With Prompt-Based Feature Mapping—0
FOR THE SAKE OF PRIVACY: SKELETON-BASED SALIENT BEHAVIOR RECOGNITION—0
A multi-stream deep neural network with late fuzzy fusion for real-world anomaly detection—0
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