Deep learning-based anomaly detection in video surveillance: A survey
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 …
increased attention from the research community. There is great demand for intelligent …
[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 …
ambiguous definitions for abnormality. In a complex surveillance scenario, the kinds of …
A comprehensive analysis of real-time video anomaly detection methods for human and vehicular movement
I Pathirannahalage, V Jayasooriya… - Multimedia Tools and …, 2024 - Springer
The ubiquitous integration of computer vision technologies has revolutionised various
application domains, ranging from agriculture and transportation to healthcare and the …
application domains, ranging from agriculture and transportation to healthcare and the …
Enhancing video anomaly detection using spatio-temporal autoencoders and convolutional lstm networks
G Almahadin, M Subburaj, M Hiari… - SN Computer …, 2024 - Springer
Identifying suspicious activities or behaviors is essential in the domain of Anomaly Detection
(AD). In crowded scenes, the presence of inter-object occlusions often complicates the …
(AD). In crowded scenes, the presence of inter-object occlusions often complicates the …
Learning deep representations of appearance and motion for anomalous event detection
We present a novel unsupervised deep learning framework for anomalous event detection
in complex video scenes. While most existing works merely use hand-crafted appearance …
in complex video scenes. While most existing works merely use hand-crafted appearance …
Anomaly behavior detection analysis in video surveillance: a critical review
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 …
learning. Manual detection of an oddity in a video costs significant time and money, so there …
EOGT: Video Anomaly Detection with Enhanced Object Information and Global Temporal Dependency
Video anomaly detection (VAD) aims to identify events or scenes in videos that deviate from
typical patterns. Existing approaches primarily focus on reconstructing or predicting frames …
typical patterns. Existing approaches primarily focus on reconstructing or predicting frames …
Anomaly3D: Video anomaly detection based on 3D-normality clusters
Abnormal behavior detection in surveillance videos is necessary for public monitoring and
safety. In human-based surveillance systems, it requires continuous human attention and …
safety. In human-based surveillance systems, it requires continuous human attention and …
Video anomaly detection based on attention and efficient spatio-temporal feature extraction
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 …
environment. Video anomaly detection has always been a challenging task. Home security …
Real-world video anomaly detection by extracting salient features in videos
Y Watanabe, M Okabe, Y Harada, N Kashima - IEEE Access, 2022 - ieeexplore.ieee.org
We propose a lightweight and accurate method for detecting anomalies in videos. Existing
methods used multiple-instance learning (MIL) to determine the normal/abnormal status of …
methods used multiple-instance learning (MIL) to determine the normal/abnormal status of …