Generalized video anomaly event detection: Systematic taxonomy and comparison of deep models
Video Anomaly Detection (VAD) serves as a pivotal technology in the intelligent surveillance
systems, enabling the temporal or spatial identification of anomalous events within videos …
systems, enabling the temporal or spatial identification of anomalous events within videos …
Stochastic video normality network for abnormal event detection in surveillance videos
Abstract Video Anomaly Detection (VAD) aims to automatically identify unexpected spatial–
temporal patterns to detect abnormal events in surveillance videos. Existing unsupervised …
temporal patterns to detect abnormal events in surveillance videos. Existing unsupervised …
Learning causality-inspired representation consistency for video anomaly detection
Video anomaly detection is an essential yet challenging task in the multimedia community,
with promising applications in smart cities and secure communities. Existing methods …
with promising applications in smart cities and secure communities. Existing methods …
Osin: Object-centric scene inference network for unsupervised video anomaly detection
Video Anomaly Detection (VAD) is an essential yet challenging task in the signal processing
community, which aims to understand the spatial and temporal contextual interactions …
community, which aims to understand the spatial and temporal contextual interactions …
MSN-net: Multi-scale normality network for video anomaly detection
Existing unsupervised video anomaly detection methods often suffer from performance
degradation due to the overgeneralization of deep models. In this paper, we propose a …
degradation due to the overgeneralization of deep models. In this paper, we propose a …
Memory-enhanced spatial-temporal encoding framework for industrial anomaly detection system
The development of modern manufacturing has raised greater demands on the accuracy,
response speed, and operating cost of industrial accident warnings. Compared to …
response speed, and operating cost of industrial accident warnings. Compared to …
Spatiotemporal masked autoencoder with multi-memory and skip connections for video anomaly detection
Y Fu, B Yang, O Ye - Electronics, 2024 - mdpi.com
Video anomaly detection is a critical component of intelligent video surveillance systems,
extensively deployed and researched in industry and academia. However, existing methods …
extensively deployed and researched in industry and academia. However, existing methods …
Networking Systems for Video Anomaly Detection: A Tutorial and Survey
The increasing prevalence of surveillance cameras in smart cities, coupled with the surge of
online video applications, has heightened concerns regarding public security and privacy …
online video applications, has heightened concerns regarding public security and privacy …
LGN-Net: Local-Global Normality Network for Video Anomaly Detection
Video anomaly detection (VAD) has been intensively studied for years because of its
potential applications in intelligent video systems. Existing unsupervised VAD methods tend …
potential applications in intelligent video systems. Existing unsupervised VAD methods tend …
Rethinking prediction-based video anomaly detection from local–global normality perspective
Video anomaly detection (VAD) has been intensively studied for years because of its
potential applications in intelligent video systems. Prediction-based VAD methods have …
potential applications in intelligent video systems. Prediction-based VAD methods have …