Multi-memory video anomaly detection based on scene object distribution

H Li, J Chen, X Sun, C Li, J Chen - Multimedia Tools and Applications, 2023 - Springer
With the popularity of surveillance equipment and the rise of intelligent surveillance, video
anomaly detection has gradually become a research hotspot. Among them, for video …

Video anomaly detection based on spatio-temporal relationships among objects

Y Wang, T Liu, J Zhou, J Guan - Neurocomputing, 2023 - Elsevier
Video anomaly detection is to automatically identify predefined anomalous contents (eg
abnormal objects, behaviors and scenes) in videos. The performance of video anomaly …

Video anomaly detection with memory-guided multilevel embedding

L Zhou, J Yang - International Journal of Multimedia Information …, 2023 - Springer
Playing a vitally important role in the operation of intelligent video surveillance system and
smart city, video anomaly detection (VAD) has been widely practiced and studied in both …

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 …

Object-Centric Video Anomaly Detection with Covariance Features

AE Bilecen, H Özkan - 2022 30th Signal Processing and …, 2022 - ieeexplore.ieee.org
In this paper, we propose four different methods for object-centric anomaly detection in
surveillance videos based on autoregressive probability estimation. By means of the …

Improving video anomaly detection performance with patch-level loss and segmentation map

Y Yang, D Zhan, F Yang, XD Zhou… - 2020 IEEE 6th …, 2020 - ieeexplore.ieee.org
With the development of surveillance video analysis and the increase of security
requirements, video anomaly detection has attracted more and more attention. In the …

Video anomaly detection based on cross-frame prediction mechanism and spatio-temporal memory-enhanced pseudo-3D encoder

X Wen, H Lai, G Gao, Y Xiao, T Wang, Z Jia… - … Applications of Artificial …, 2023 - Elsevier
Intelligent video anomaly detection (VAD) methods play a crucial role in conserving human
resources, reducing the financial burden on governments, and promptly and accurately …

Video anomaly detection and localization based on an adaptive intra-frame classification network

K Xu, T Sun, X Jiang - IEEE Transactions on Multimedia, 2019 - ieeexplore.ieee.org
Video anomaly detection and localization is still a challenging task in the computer vision
field. Previous methods took this task as an outlier detection problem, which computed the …

Memory-enhanced appearance-motion consistency framework for video anomaly detection

Z Ning, Z Wang, Y Liu, J Liu, L Song - Computer Communications, 2024 - Elsevier
Modern network communication systems extensively utilize video data for various
applications, creating a pressing need for efficient Video Anomaly Detection (VAD) …

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 …