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 …

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 …

Deep learning-based anomaly detection in video surveillance: A survey

HT Duong, VT Le, VT Hoang - Sensors, 2023 - mdpi.com
Anomaly detection in video surveillance is a highly developed subject that is attracting
increased attention from the research community. There is great demand for intelligent …

Deep learning-based methods for anomaly detection in video surveillance: a review

A Berroukham, K Housni, M Lahraichi… - Bulletin of Electrical …, 2023 - beei.org
Detecting anomalous events in videos is one of the most popular computer vision topics. It is
considered a challenging task in video analysis due to its definition, which is subjective or …

Anomaly detection in videos for video surveillance applications using neural networks

RJ Franklin, V Dabbagol - 2020 Fourth International …, 2020 - ieeexplore.ieee.org
Security is always a main concern in every domain, due to a rise in crime rate in the crowded
event or suspicious lonely areas. Abnormal detection and monitoring have major …

Review on deep learning approaches for anomaly event detection in video surveillance

SA Jebur, KA Hussein, HK Hoomod, L Alzubaidi… - Electronics, 2022 - mdpi.com
In the last few years, due to the continuous advancement of technology, human behavior
detection and recognition have become important scientific research in the field of computer …

CNN features with bi-directional LSTM for real-time anomaly detection in surveillance networks

W Ullah, A Ullah, IU Haq, K Muhammad… - Multimedia tools and …, 2021 - Springer
In current technological era, surveillance systems generate an enormous volume of video
data on a daily basis, making its analysis a difficult task for computer vision experts …

Anomaly detection in surveillance videos: a thematic taxonomy of deep models, review and performance analysis

S Chandrakala, K Deepak, G Revathy - Artificial Intelligence Review, 2023 - Springer
The task of anomaly detection has recently gained much attention in the field of visual
surveillance. Video surveillance data is often available in large quantities, but manual …

Video anomaly detection with compact feature sets for online performance

R Leyva, V Sanchez, CT Li - IEEE Transactions on Image …, 2017 - ieeexplore.ieee.org
Over the past decade, video anomaly detection has been explored with remarkable results.
However, research on methodologies suitable for online performance is still very limited. In …

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 …