Anomaly behavior detection analysis in video surveillance: a critical review

S Roka, M Diwakar, P Singh… - Journal of Electronic …, 2023 - spiedigitallibrary.org
Anomaly detection is one of the most researched topics in computer vision and machine
learning. Manual detection of an oddity in a video costs significant time and money, so there …

FOAD: a novel video anomaly detection focusing on objects

H Li, J Chen, X Huang, Y Zhang, Y Du… - Multimedia Tools and …, 2024 - Springer
With the popularity of surveillance video, people's increased security awareness and
demand for risk warning, video anomaly detection is gradually gaining widespread attention …

Video anomaly detection based on attention and efficient spatio-temporal feature extraction

SM Rahimpour, M Kazemi, P Moallem, M Safayani - The Visual Computer, 2024 - Springer
An anomaly is a pattern, behavior, or event that does not frequently happen in an
environment. Video anomaly detection has always been a challenging task. Home security …

A Survey on video anomaly detection

RK Yadav, R Kumar - 2022 IEEE Delhi Section Conference …, 2022 - ieeexplore.ieee.org
The number of surveillance cameras has increased considerably over the last decade, and
so is the research in order to reduce the human intervention in surveillance in order to …

[PDF][PDF] Improved anomaly detection in surveillance videos with multiple probabilistic models inference

Z Xu, X Zeng, G Ji, B Sheng - Intell. Autom. Soft Comput, 2022 - cdn.techscience.cn
Anomaly detection in surveillance videos is an extremely challenging task due to the
ambiguous definitions for abnormality. In a complex surveillance scenario, the kinds of …

Research Progress of Video Anomaly Detection Technology.

WU Kaijun, H Tao, W Dicong… - Journal of Frontiers …, 2022 - search.ebscohost.com
Video anomaly detection refers to the detection and identification of events that deviate from
normal behavior, which has a wide range of applications in surveillance video. In this paper …

The LV dataset: A realistic surveillance video dataset for abnormal event detection

R Leyva, V Sanchez, CT Li - 2017 5th international workshop …, 2017 - ieeexplore.ieee.org
In recent years, designing and testing video anomaly detection methods have focused on
synthetic or unrealistic sequences. This has mainly four drawbacks: 1) events are controlled …

[图书][B] Deep Learning in Video Anomaly Detection and Its Applications

Y Zhao - 2021 - search.proquest.com
With the popularization of the city monitoring system, surveillance videos have been
increasingly presented. Traditional methods for video analytic require professionals to …

A system for spatiotemporal anomaly localization in surveillance videos

H Wu, J Shao, X Xu, F Shen, HT Shen - Proceedings of the 25th ACM …, 2017 - dl.acm.org
Anomaly detection and localization in surveillance videos have attracted broad attention in
both academic and industry for its importance to public safety, which however remain …

Exploring background-bias for anomaly detection in surveillance videos

K Liu, H Ma - Proceedings of the 27th ACM International Conference …, 2019 - dl.acm.org
Anomaly detection in surveillance videos, as a special case of video-based action
recognition, is an important topic in multimedia community and public security. Currently …