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A Comprehensive Survey of Machine Learning Methods for Surveillance Videos Anomaly Detection

https://doi.org/10.1109/access.2023.3321800

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Outgoing claims: the papers this work cites, builds on, or argues with.

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Video Anomaly Detection for Smart Surveillance

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CNN features with bi-directional LSTM for real-time anomaly detection in surveillance networks

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Anomaly Event Detection Using Generative Adversarial Network for Surveillance Videos

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Social MIL: Interaction-Aware for Crowd Anomaly Detection

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Crowd counting estimation in video surveillance based on linear regression function

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Application of Deep Learning for Crowd Anomaly Detection from Surveillance Videos

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A Rapid Recognition Method for Pedestrian Abnormal Behavior

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Abnormal crowd behavior detection using social force model

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Feature Pyramid Networks for Object Detection

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Video Representation Learning Using Discriminative Pooling

inferredcites →https://doi.org/10.1109/cvpr.2018.00678openalex-snapshot

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Future Frame Prediction for Anomaly Detection - A New Baseline

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inferredcites →https://doi.org/10.1109/icassp43922.2022.9746659openalex-snapshot

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inferredcites →https://doi.org/10.1109/iccv.2013.338openalex-snapshot

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inferredcites →https://doi.org/10.1109/iccv.2015.152openalex-snapshot

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inferredcites →https://doi.org/10.1109/icphm.2019.8819434openalex-snapshot

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inferredcites →https://doi.org/10.1109/icses55317.2022.9914213openalex-snapshot

Anomaly and activity recognition in a video surveillance using Masked Autoencoder

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Object Detection in 20 Years: A Survey

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Support Vector Machine Versus Random Forest for Remote Sensing Image Classification: A Meta-Analysis and Systematic Review

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Transfer Learning for Multi-Step Resource Utilization Prediction

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Cloud Intrusion Detection Method Based on Stacked Contractive Auto-Encoder and Support Vector Machine

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Cloud-Assisted Multiview Video Summarization Using CNN and Bidirectional LSTM

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Generative Adversarial Active Learning for Unsupervised Outlier Detection

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Online Robust Principal Component Analysis With Change Point Detection

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Feature Encoding With Autoencoders for Weakly Supervised Anomaly Detection

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Robust Real-Time Unusual Event Detection using Multiple Fixed-Location Monitors

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Anomaly Detection and Localization in Crowded Scenes

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A UAV Video Dataset for Mosaicking and Change Detection From Low-Altitude Flights

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Street Scene: A new dataset and evaluation protocol for video anomaly detection

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Autoencoder-based background reconstruction and foreground segmentation with background noise estimation

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Abnormal event detection based on SVM in video surveillance

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3D-Convolutional Neural Network with Generative Adversarial Network and Autoencoder for Robust Anomaly Detection in Video Surveillance

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Variational Autoencoder-Based Dimensionality Reduction for High-Dimensional Small-Sample Data Classification

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Hybrid Recommender System based on Autoencoders

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User Personalized Satisfaction Prediction via Multiple Instance Deep Learning

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Linear Regression and Correlation

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Blur Detection for Surveillance Camera System

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Review on Deep Learning Approaches for Anomaly Event Detection in Video Surveillance

inferredcites →https://doi.org/10.3390/info13010002openalex-snapshot

Low-Altitude Aerial Video Surveillance via One-Class SVM Anomaly Detection from Textural Features in UAV Images

inferredcites →https://doi.org/10.3390/jsan12010009openalex-snapshot

Loitering Detection Using Spatial-Temporal Information for Intelligent Surveillance Systems on a Vision Sensor

inferredcites →https://doi.org/10.3390/math10091403openalex-snapshot

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inferredcites →https://doi.org/10.3390/math10142531openalex-snapshot

Deep Transfer Learning Method Based on Automatic Domain Alignment and Moment Matching

inferredcites →https://doi.org/10.3390/rs13245132openalex-snapshot

Multiple Instance Learning Convolutional Neural Networks for Fine-Grained Aircraft Recognition

inferredcites →https://doi.org/10.3390/rs14164110openalex-snapshot

A Novel GAN-Based Anomaly Detection and Localization Method for Aerial Video Surveillance at Low Altitude

inferredcites →https://doi.org/10.3390/s18124290openalex-snapshot

Abandoned Object Detection in Video-Surveillance: Survey and Comparison

inferredcites →https://doi.org/10.3390/s19051005openalex-snapshot

A Comprehensive Survey of Vision-Based Human Action Recognition Methods

inferredcites →https://doi.org/10.3390/s19245429openalex-snapshot

Dynamic Hand Gesture Recognition Using 3DCNN and LSTM with FSM Context-Aware Model

inferredcites →https://doi.org/10.3390/s21082811openalex-snapshot

An Efficient Anomaly Recognition Framework Using an Attention Residual LSTM in Surveillance Videos

inferredcites →https://doi.org/10.3390/s21093179openalex-snapshot

Multi-Channel Generative Framework and Supervised Learning for Anomaly Detection in Surveillance Videos

inferredcites →https://doi.org/10.3390/s21134283openalex-snapshot

Design of an SVM Classifier Assisted Intelligent Receiver for Reliable Optical Camera Communication

inferredcites →https://doi.org/10.3390/s22041352openalex-snapshot

Unknown Object Detection Using a One-Class Support Vector Machine for a Cloud–Robot System

inferredcites →https://doi.org/10.3390/s22124324openalex-snapshot

Recent Advances in Video Analytics for Rail Network Surveillance for Security, Trespass and Suicide Prevention—A Survey

inferredcites →https://doi.org/10.3390/s22166080openalex-snapshot

Taxonomy of Anomaly Detection Techniques in Crowd Scenes

inferredcites →https://doi.org/10.3390/s22176563openalex-snapshot

Anomaly Detection in Traffic Surveillance Videos Using Deep Learning

inferredcites →https://doi.org/10.3390/s23021043openalex-snapshot

Deep Learning-Based Adaptive Compression and Anomaly Detection for Smart B5G Use Cases Operation

inferredcites →https://doi.org/10.3390/s23042358openalex-snapshot

An IoT Enable Anomaly Detection System for Smart City Surveillance

inferredcites →https://doi.org/10.3390/s23063318openalex-snapshot

Trajectory Clustering-Based Anomaly Detection in Indoor Human Movement

inferredcites →https://doi.org/10.3390/su14106175openalex-snapshot

Risk Assessment of Crowd-Gathering in Urban Open Public Spaces Supported by Spatio-Temporal Big Data

inferredcites →https://doi.org/10.3991/ijoe.v18i02.28019openalex-snapshot

Deep Learning Algorithms for Human Fighting Action Recognition

inferredcites →https://doi.org/10.46254/in02.20220633openalex-snapshot

Fabrication of Quadcopter with Face Recognition for Surveillance

inferredcites →https://doi.org/10.48550/arxiv.1211.5063openalex-snapshot

On the difficulty of training Recurrent Neural Networks

inferredcites →https://doi.org/10.48550/arxiv.1802.06222openalex-snapshot

Efficient GAN-Based Anomaly Detection

inferredcites →https://doi.org/10.48550/arxiv.1901.03407openalex-snapshot

Deep Learning for Anomaly Detection: A Survey

inferredcites →https://doi.org/10.48550/arxiv.1909.03765openalex-snapshot

Balancing Reconstruction Quality and Regularisation in ELBO for VAEs

inferredcites →https://doi.org/10.48550/arxiv.2001.06937openalex-snapshot

A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications

inferredcites →https://doi.org/10.48550/arxiv.2009.14146openalex-snapshot

A Survey on Deep Learning Techniques for Video Anomaly Detection

inferredcites →https://doi.org/10.48550/arxiv.2104.11146openalex-snapshot

An Efficient One-Class SVM for Anomaly Detection in the Internet of Things

inferredcites →https://doi.org/10.48550/arxiv.2109.07602openalex-snapshot

Interpretable Additive Recurrent Neural Networks For Multivariate Clinical Time Series

inferredcites →https://doi.org/10.48550/arxiv.2203.03872openalex-snapshot

Visual anomaly detection in video by variational autoencoder

inferredcites →https://doi.org/10.48550/arxiv.2210.01707openalex-snapshot

Multiple Instance Learning for Detecting Anomalies over Sequential Real-World Datasets

inferredcites →https://doi.org/10.5120/21264-3857openalex-snapshot

Occlusion Detection and Handling: A Review

inferredcites →https://doi.org/10.5121/ijscai.2019.8201openalex-snapshot

SUPPORT VECTOR MACHINE-BASED FIRE OUTBREAK DETECTION SYSTEM

inferredcites →https://doi.org/10.5220/0010312304550464openalex-snapshot

CAR-DCGAN: A Deep Convolutional Generative Adversarial Network for Compression Artifact Removal in Video Surveillance Systems

inferredcites →https://doi.org/10.53347/rid-61710openalex-snapshot

Support vector machine (machine learning)

inferredcites →https://doi.org/10.6036/10304openalex-snapshot

MOVING OBJECTS DETECTION, CLASSIFICATION AND TRACKING OF VIDEO STREAMING BY IMPROVED FEATURE EXTRACTION APPROACH USING K-SVM

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Enhancing Situational Awareness: Anomaly Detection Using Real-Time Video Across Multiple Domains

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Deep Learning-Based Anomalous Activity Detection for Intelligent Video Surveillance

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Advanced CCTV Surveillance Anomaly Detection, Alert Generation and Crowd Management using Deep Learning Algorithm

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A Unified Spatio-Temporal Framework for Anomaly Detection in Surveillance Video

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Video Anomaly Detection in Crime Analysis Using DenseNet-121

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Advances in Deep Learning for Video Anomaly Detection: A Comprehensive Review

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Algorithmic Anomalies Detecting Suspicious Behavior Patterns in Public Spaces

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A Comparative Analysis of Supervised, Semi Supervised and Unsupervised Object Detection Techniques in Video Surveillance

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Where and What: Contextual Dynamics-Aware Anomaly Detection in Surveillance Videos

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Leveraging Attention for Improved Discriminative Correlation Filters in Single Object Tracking

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DYNAMIT: K-Medoids-Based Machine Learning for Scalable Honeynet Deception and Intelligent Threat Profiling

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CNN-Based Spatiotemporal Feature Extraction for Video Processing: A Systematic Review

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Deep BiLSTM Attention Model for Spatial and Temporal Anomaly Detection in Video Surveillance

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Artificial Intelligence in Cyber-Physical Security and Intelligent Surveillance: A Comprehensive Survey

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Cross Attention Based Feature Fusion Network for Robust Anomaly Detection in Surveillance Videos

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Improving Public Safety: Through Real-Time Anomaly Detection in Surveillance Videos Using 3D CNN and Spatiotemporal Autoencoder

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Lightweight deep models for video anomaly detection: a comparative study of autoencoders and MobileNetV2 on the avenue dataset

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Developing a Deep Learning-Based Framework for Real-Time Anomaly Detection and Alerting Mechanism Using Embedded Systems

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Unattended Baggage

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Anomaly Detection in Behavioral Surveillance Using Deep Learning Techniques

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Generative AI in Network Security and Intrusion Detection

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AI-Driven Anomaly Detection in Fusing Audio and Video Surveillance Systems Based on LSTM Model

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Optimizing Image Recognition Efficiency using Sparse Representation Learning and Transfer Learning for Resource-Constrained Environments

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CROWD VIDEO SEQUENCES PROCESSING METHODS FOR DETERMINING THE CROWD MOTION PATTERNS

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Leveraging the Internet of Things, Remote Sensing, and Artificial Intelligence for Sustainable Forest Management

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Recent Implementation of Deep Learning Methods for Shoplifting Detection in Retail Environments Using Surveillance Videos

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Intelligent Surveillance System for Knife Detection Based on YOLOv8 Neural Networks

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.