SOTAVerified

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 4150 of 66 papers

TitleStatusHype
A MIL Approach for Anomaly Detection in Surveillance Videos from Multiple Camera ViewsCode0
Hybrid Deep Network for Anomaly DetectionCode0
Abnormal event detection on BMTT-PETS 2017 surveillance challengeCode0
Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly DetectionCode0
HR-Crime: Human-Related Anomaly Detection in Surveillance Videos0
3D ResNet with Ranking Loss Function for Abnormal Activity Detection in Videos0
Abnormal Event Detection In Videos Using Deep Embedding0
A Hierarchical Spatio-Temporal Graph Convolutional Neural Network for Anomaly Detection in Videos0
A multi-stream deep neural network with late fuzzy fusion for real-world anomaly detection0
Anomalous Event Recognition in Videos Based on Joint Learningof Motion and Appearance with Multiple Ranking Measures0
Show:102550
← PrevPage 5 of 7Next →

No leaderboard results yet.