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

Z Xu, X Zeng, G Ji, B Sheng - Intelligent Automation and Soft …, 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 …

Self-trained multi-cues model for video anomaly detection

X Wang, Z Nie, W Liang, M Pei - Multimedia Tools and Applications, 2023 - Springer
Video anomaly detection is an extremely challenging task in the field of intelligent
surveillance analysis. In this paper, we propose a video anomaly detection method without …

Self-trained prediction model and novel anomaly score mechanism for video anomaly detection

A Guo, L Guo, R Zhang, Y Wang, S Gao - Image and Vision Computing, 2022 - Elsevier
Video anomaly detection is important in various practical applications. This paper proposes
an unsupervised method for video anomaly detection. In the core of the method lies a new …

Video anomaly detection guided by clustering learning

S Qiu, J Ye, J Zhao, L He, L Liu, E Bicong, X Huang - Pattern Recognition, 2024 - Elsevier
With the fuzzy boundary between normal and abnormal video data, which cannot be well
distinguished by most methods, anomaly detection in video requires better characterization …

Bounding Boxes and Probabilistic Graphical Models: Video Anomaly Detection Simplified

M Siemon, TB Moeslund, B Norton… - arXiv preprint arXiv …, 2024 - arxiv.org
In this study, we formulate the task of Video Anomaly Detection as a probabilistic analysis of
object bounding boxes. We hypothesize that the representation of objects via their bounding …

[HTML][HTML] A Hybrid Approach to Improve the Video Anomaly Detection Performance of Pixel-and Frame-Based Techniques Using Machine Learning Algorithms

H Tutar, A Güneş, M Zontul, Z Aslan - Computation, 2024 - mdpi.com
With the rapid development in technology in recent years, the use of cameras and the
production of video and image data have similarly increased. Therefore, there is a great …

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 …

A survey on deep learning based video anomaly detection

HE Ping, LI Gang, LI Hui-bin - Computer Engineering & Science, 2022 - joces.nudt.edu.cn
Recent years, with the widespread use of video surveillance technology, video anomaly
detection, which can intelligently analyze massive videos and quickly discover the …

A video anomaly detection method based on percentile loss training and attention mechanism

N Du, Y Huo, D Wang - Displays, 2022 - Elsevier
Currently, the mainstream methods for video anomaly detection include frame reconstruction
and video stream prediction. These methods are always confronted with the problem of over …

Robust and efficient anomaly detection using heterogeneous representations

X Hu, S Hu, J Xie, S Zheng - Journal of Electronic Imaging, 2015 - spiedigitallibrary.org
Various approaches have been proposed for video anomaly detection. Yet these
approaches typically suffer from one or more limitations: they often characterize the pattern …