Abnormal behavior recognition for intelligent video surveillance systems: A review

AB Mabrouk, E Zagrouba - Expert Systems with Applications, 2018 - Elsevier
With the increasing number of surveillance cameras in both indoor and outdoor locations,
there is a grown demand for an intelligent system that detects abnormal events. Although …

Anomaly detection using edge computing in video surveillance system

DR Patrikar, MR Parate - International Journal of Multimedia Information …, 2022 - Springer
The current concept of smart cities influences urban planners and researchers to provide
modern, secured and sustainable infrastructure and gives a decent quality of life to its …

A study of deep convolutional auto-encoders for anomaly detection in videos

M Ribeiro, AE Lazzaretti, HS Lopes - Pattern Recognition Letters, 2018 - Elsevier
The detection of anomalous behaviors in automated video surveillance is a recurrent topic in
recent computer vision research. Depending on the application field, anomalies can present …

A survey on deep learning-based real-time crowd anomaly detection for secure distributed video surveillance

K Rezaee, SM Rezakhani, MR Khosravi… - Personal and Ubiquitous …, 2024 - Springer
Fast and automated recognizing of abnormal behaviors in crowded scenes is significantly
effective in increasing public security. The traditional procedure of recognizing abnormalities …

Anomaly detection in road traffic using visual surveillance: A survey

KK Santhosh, DP Dogra, PP Roy - ACM Computing Surveys (CSUR), 2020 - dl.acm.org
Computer vision has evolved in the last decade as a key technology for numerous
applications replacing human supervision. Timely detection of traffic violations and …

Detection of anomaly in surveillance videos using quantum convolutional neural networks

J Amin, MA Anjum, K Ibrar, M Sharif, S Kadry… - Image and Vision …, 2023 - Elsevier
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 kidnap**, and so …

Generative neural networks for anomaly detection in crowded scenes

T Wang, M Qiao, Z Lin, C Li, H Snoussi… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
Security surveillance is critical to social harmony and people's peaceful life. It has a great
impact on strengthening social stability and life safeguarding. Detecting anomaly timely …

Spatiotemporal event detection: A review

M Yu, M Bambacus, G Cervone, K Clarke… - … Journal of Digital …, 2020 - Taylor & Francis
The advancements of sensing technologies, including remote sensing, in situ sensing,
social sensing, and health sensing, have tremendously improved our capability to observe …

An analysis of artificial intelligence techniques in surveillance video anomaly detection: A comprehensive survey

E Şengönül, R Samet, Q Abu Al-Haija, A Alqahtani… - Applied Sciences, 2023 - mdpi.com
Surveillance cameras have recently been utilized to provide physical security services
globally in diverse private and public spaces. The number of cameras has been increasing …

Exploring a rich spatial–temporal dependent relational model for skeleton-based action recognition by bidirectional LSTM-CNN

A Zhu, Q Wu, R Cui, T Wang, W Hang, G Hua… - Neurocomputing, 2020 - Elsevier
With the fast development of effective and low-cost human skeleton capture systems,
skeleton-based action recognition has attracted much attention recently. Most existing …