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 …

Online video anomaly detection

Y Zhang, J Song, Y Jiang, H Li - Sensors, 2023 - mdpi.com
With the popularity of video surveillance technology, people are paying more and more
attention to how to detect abnormal states or events in videos in time. Therefore, real-time …

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 …

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 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 …

Human-machine cooperative video anomaly detection

F Yang, Z Yu, L Chen, J Gu, Q Li, B Guo - Proceedings of the ACM on …, 2021 - dl.acm.org
It is still a challenge to detect anomalous events in video sequences in the field of computer
vision due to heavy object occlusions, varying crowded densities and complex situations. To …

A survey on deep learning techniques for video anomaly detection

JJP Suarez, PC Naval Jr - arXiv preprint arXiv:2009.14146, 2020 - arxiv.org
Anomaly detection in videos is a problem that has been studied for more than a decade.
This area has piqued the interest of researchers due to its wide applicability. Because of this …

Combining motion and appearance cues for anomaly detection

Y Zhang, H Lu, L Zhang, X Ruan - Pattern Recognition, 2016 - Elsevier
In this paper, we present a novel anomaly detection framework which integrates motion and
appearance cues to detect abnormal objects and behaviors in video. For motion anomaly …

Divide and conquer in video anomaly detection: A comprehensive review and new approach

J Xiao, G Ji - 2023 China Automation Congress (CAC), 2023 - ieeexplore.ieee.org
Video anomaly detection is a complex task, and the principle of “divide and conquer” is often
regarded as an effective approach to tackling intricate issues. It's noteworthy that recent …

Video anomaly detection in surveillance cameras

A Vijayan, B Meenaskshi, A Pandey… - … for Advancement in …, 2022 - ieeexplore.ieee.org
Anomalies in videos are broadly defined as events or activities that are unusual and signify
irregular behavior. The goal of anomaly detection is to identify cases that are unusual within …