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 …
Amp-net: Appearance-motion prototype network assisted automatic video anomaly detection system
As essential tools for industry safety protection, automatic video anomaly detection systems
(AVADS) are designed to detect anomalous events of concern in surveillance videos …
(AVADS) are designed to detect anomalous events of concern in surveillance videos …
Detection of anomaly in surveillance videos using quantum convolutional neural networks
Anomalous behavior identification is the process of detecting behavior that differs from its
normal. These incidents will vary from violence to war, road crashes to kidnapping, and so …
normal. These incidents will vary from violence to war, road crashes to kidnapping, and so …
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 prompt-enhanced context features for weakly-supervised video anomaly detection
Weakly supervised video anomaly detection aims to locate abnormal activities in untrimmed
videos without the need for frame-level supervision. Prior work has utilized graph …
videos without the need for frame-level supervision. Prior work has utilized graph …
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 …
Video Anomaly Detection: A Systematic Review of Issues and Prospects
The increase in the deployment of surveillance camera in outdoor and indoor settings have
resulted in a growing demand for intelligent systems that can accurately detect and …
resulted in a growing demand for intelligent systems that can accurately detect and …
Ensemble anomaly score for video anomaly detection using denoise diffusion model and motion filters
Video anomaly detection is a crucial task that aims to differentiate between normal and
abnormal events. The current mainstream approach involves constructing an anomaly score …
abnormal events. The current mainstream approach involves constructing an anomaly score …
Video anomaly detection guided by clustering learning
S Qiu, J Ye, J Zhao, L He, L Liu, E Bicong, X Huang - Pattern Recognition, 2024 - Elsevier
With the fuzzy boundary between normal and abnormal video data, which cannot be well
distinguished by most methods, anomaly detection in video requires better characterization …
distinguished by most methods, anomaly detection in video requires better characterization …
Stemgan: spatio-temporal generative adversarial network for video anomaly detection
Automatic detection and interpretation of abnormal events have become crucial tasks in
large-scale video surveillance systems. The challenges arise from the lack of a clear …
large-scale video surveillance systems. The challenges arise from the lack of a clear …