Networking Systems for Video Anomaly Detection: A Tutorial and Survey

J Liu, Y Liu, J Lin, J Li, P Sun, B Hu, L Song… - arXiv preprint arXiv …, 2024 - arxiv.org
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 …

Video Anomaly Detection: A Systematic Review of Issues and Prospects

YA Samaila, P Sebastian, NSS Singh, AN Shuaibu… - Neurocomputing, 2024 - Elsevier
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 …

Video Anomaly Detection in 10 Years: A Survey and Outlook

M Abdalla, S Javed, MA Radi, A Ulhaq… - arXiv preprint arXiv …, 2024 - arxiv.org
Video anomaly detection (VAD) holds immense importance across diverse domains such as
surveillance, healthcare, and environmental monitoring. While numerous surveys focus on …

Deep video anomaly detection: Opportunities and challenges

J Ren, F Xia, Y Liu, I Lee - 2021 international conference on …, 2021 - ieeexplore.ieee.org
Anomaly detection is a popular and vital task in various research contexts, which has been
studied for several decades. To ensure the safety of people's lives and assets, video …

Video anomaly detection using pre-trained deep convolutional neural nets and context mining

C Wu, S Shao, C Tunc, S Hariri - 2020 IEEE/ACS 17th …, 2020 - ieeexplore.ieee.org
Anomaly detection is critically important for intelligent surveillance systems to detect in a
timely manner any malicious activities. Many video anomaly detection approaches using …

Generalized video anomaly event detection: Systematic taxonomy and comparison of deep models

Y Liu, D Yang, Y Wang, J Liu, J Liu… - ACM Computing …, 2023 - dl.acm.org
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 …

Real-Time Video Anomaly Detection for Smart Surveillance

M Mustafa - Available at SSRN 4199296 - papers.ssrn.com
Human monitoring of surveillance cameras for anomaly detection may be exhaustive and
monotonous task as it requires constant attention to judge if the captured activities are …

Attention U-Net based on multi-scale feature extraction and WSDAN data augmentation for video anomaly detection

S Lei, J Song, T Wang, F Wang, Z Yan - Multimedia Systems, 2024 - Springer
The widespread adoption of video surveillance systems in public security and network
security domains has underscored the importance of video anomaly detection as a pivotal …

Conjoined triple deep network for video anomaly detection

X Chang, Y Wu, S Deng, T Jia, D Chen - Multimedia Tools and …, 2024 - Springer
The video anomaly detection task typically involves identifying anomalous targets,
behaviors, and events in surveillance using only normal samples. Most mainstream anomaly …

A comprehensive review on deep learning-based methods for video anomaly detection

R Nayak, UC Pati, SK Das - Image and Vision Computing, 2021 - Elsevier
Video surveillance systems are popular and used in public places such as market places,
shopping malls, hospitals, banks, streets, education institutions, city administrative offices …