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An analysis of artificial intelligence techniques in surveillance video anomaly detection: A comprehensive survey
Surveillance cameras have recently been utilized to provide physical security services
globally in diverse private and public spaces. The number of cameras has been increasing …
globally in diverse private and public spaces. The number of cameras has been increasing …
Amp-net: Appearance-motion prototype network assisted automatic video anomaly detection system
As essential tools for industry safety protection, automatic video anomaly detection systems
(AVADS) are designed to detect anomalous events of concern in surveillance videos …
(AVADS) are designed to detect anomalous events of concern in surveillance videos …
Deep learning for abnormal human behavior detection in surveillance videos—A survey
Detecting abnormal human behaviors in surveillance videos is crucial for various domains,
including security and public safety. Many successful detection techniques based on deep …
including security and public safety. Many successful detection techniques based on deep …
Anomaly detection in surveillance videos: a thematic taxonomy of deep models, review and performance analysis
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 …
surveillance. Video surveillance data is often available in large quantities, but manual …
Bi-READ: Bi-Residual AutoEncoder based feature enhancement for video anomaly detection
R Kommanduri, M Ghorai - Journal of Visual Communication and Image …, 2023 - Elsevier
Video anomaly detection (VAD) refers to identifying abnormal events in the surveillance
video. Typically, reconstruction based video anomaly detection techniques employ …
video. Typically, reconstruction based video anomaly detection techniques employ …
A new unsupervised video anomaly detection using multi-scale feature memorization and multipath temporal information prediction
N Taghinezhad, M Yazdi - IEEE Access, 2023 - ieeexplore.ieee.org
Anomaly detection in video is an advanced computer vision challenge that recognizes video
segments containing out-of-the-ordinary motions or objects. Most recent techniques in video …
segments containing out-of-the-ordinary motions or objects. Most recent techniques in video …
COVAD: Content-oriented video anomaly detection using a self attention-based deep learning model
Background Video anomaly detection has always been a hot topic and has attracted
increasing attention. Many of the existing methods for video anomaly detection depend on …
increasing attention. Many of the existing methods for video anomaly detection depend on …
[HTML][HTML] Video anomaly detection using cross u-net and cascade sliding window
As video surveillance exponentially increases, a method that automatically detects abnormal
events in video surveillance is essential. Several anomaly detection methods have been …
events in video surveillance is essential. Several anomaly detection methods have been …
Texture classification-based feature processing for violence-based anomaly detection in crowded environments
Anomaly detection from video surveillance inputs helps to improve security in crowded
places and outdoors. The captured image is analyzed to identify human faces, objects, and …
places and outdoors. The captured image is analyzed to identify human faces, objects, and …
Machine-learning-assisted and real-time-feedback-controlled growth of InAs/GaAs quantum dots
C Shen, W Zhan, K **n, M Li, Z Sun, H Cong… - Nature …, 2024 - nature.com
The applications of self-assembled InAs/GaAs quantum dots (QDs) for lasers and single
photon sources strongly rely on their density and quality. Establishing the process …
photon sources strongly rely on their density and quality. Establishing the process …