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

https://doi.org/10.3390/s21082811
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What this work says

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

inferredcites →https://doi.org/10.1007/11744047_33openalex-snapshot
Human Detection Using Oriented Histograms of Flow and Appearance
inferredcites →https://doi.org/10.1007/978-3-030-58555-6_20openalex-snapshot
Clustering Driven Deep Autoencoder for Video Anomaly Detection
inferredcites →https://doi.org/10.1007/978-981-10-3770-2_46openalex-snapshot
Multiple Instance Learning Based on Twin Support Vector Machine
inferredcites →https://doi.org/10.1007/s11042-017-5255-zopenalex-snapshot
An anomaly-introduced learning method for abnormal event detection
inferredcites →https://doi.org/10.1007/s11042-020-09406-3openalex-snapshot
CNN features with bi-directional LSTM for real-time anomaly detection in surveillance networks
inferredcites →https://doi.org/10.1007/s11280-018-0531-zopenalex-snapshot
Residual attention-based LSTM for video captioning
inferredcites →https://doi.org/10.1016/j.cviu.2020.102920openalex-snapshot
Video anomaly detection and localization via Gaussian Mixture Fully Convolutional Variational Autoencoder
inferredcites →https://doi.org/10.1016/j.imavis.2010.11.003openalex-snapshot
Goal-based trajectory analysis for unusual behaviour detection in intelligent surveillance
inferredcites →https://doi.org/10.1016/j.jvcir.2019.02.035openalex-snapshot
Generalization of feature embeddings transferred from different video anomaly detection domains
inferredcites →https://doi.org/10.1109/access.2018.2848210openalex-snapshot
Learning Sparse Representation With Variational Auto-Encoder for Anomaly Detection
inferredcites →https://doi.org/10.1109/access.2020.2982906openalex-snapshot
Transfer Deep Learning Along With Binary Support Vector Machine for Abnormal Behavior Detection
inferredcites →https://doi.org/10.1109/access.2020.3047732openalex-snapshot
Batteries State of Health Estimation via Efficient Neural Networks With Multiple Channel Charging Profiles
inferredcites →https://doi.org/10.1109/cvpr.2005.177openalex-snapshot
Histograms of Oriented Gradients for Human Detection
inferredcites →https://doi.org/10.1109/cvpr.2005.316openalex-snapshot
Semi-Supervised Adapted HMMs for Unusual Event Detection
inferredcites →https://doi.org/10.1109/cvpr.2009.5206569openalex-snapshot
Observe locally, infer globally: A space-time MRF for detecting abnormal activities with incremental updates
inferredcites →https://doi.org/10.1109/cvpr.2009.5206641openalex-snapshot
Abnormal crowd behavior detection using social force model
inferredcites →https://doi.org/10.1109/cvpr.2010.5539872openalex-snapshot
Anomaly detection in crowded scenes
inferredcites →https://doi.org/10.1109/cvpr.2010.5539882openalex-snapshot
Chaotic invariants of Lagrangian particle trajectories for anomaly detection in crowded scenes
inferredcites →https://doi.org/10.1109/cvpr.2011.5995434openalex-snapshot
Sparse reconstruction cost for abnormal event detection
inferredcites →https://doi.org/10.1109/cvpr.2011.5995524openalex-snapshot
Online detection of unusual events in videos via dynamic sparse coding
inferredcites →https://doi.org/10.1109/cvpr.2016.86openalex-snapshot
Learning Temporal Regularity in Video Sequences
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2017.179openalex-snapshot
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
inferredcites →https://doi.org/10.1109/cvpr.2018.00356openalex-snapshot
Adversarially Learned One-Class Classifier for Novelty Detection
inferredcites →https://doi.org/10.1109/cvpr.2018.00474openalex-snapshot
MobileNetV2: Inverted Residuals and Linear Bottlenecks
inferredcites →https://doi.org/10.1109/cvpr.2018.00678openalex-snapshot
Real-World Anomaly Detection in Surveillance Videos
inferredcites →https://doi.org/10.1109/cvpr.2018.00684openalex-snapshot
Future Frame Prediction for Anomaly Detection - A New Baseline
inferredcites →https://doi.org/10.1109/cvpr.2019.00133openalex-snapshot
Graph Convolutional Label Noise Cleaner: Train a Plug-And-Play Action Classifier for Anomaly Detection
inferredcites →https://doi.org/10.1109/cvpr.2019.00803openalex-snapshot
Object-Centric Auto-Encoders and Dummy Anomalies for Abnormal Event Detection in Video
inferredcites →https://doi.org/10.1109/cvpr.2019.01227openalex-snapshot
Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos
inferredcites →https://doi.org/10.1109/cvprw.2009.5206641openalex-snapshot
Abnormal crowd behavior detection using social force model
inferredcites →https://doi.org/10.1109/icaccs48705.2020.9074417openalex-snapshot
A New Approach to Detect Anomalous Behaviour in ATMs
inferredcites →https://doi.org/10.1109/iccais46528.2019.9074586openalex-snapshot
3D ResNet with Ranking Loss Function for Abnormal Activity Detection in Videos
inferredcites →https://doi.org/10.1109/iccv.2013.338openalex-snapshot
Abnormal Event Detection at 150 FPS in MATLAB
inferredcites →https://doi.org/10.1109/iccv.2015.510openalex-snapshot
Learning Spatiotemporal Features with 3D Convolutional Networks
inferredcites →https://doi.org/10.1109/iccv.2017.391openalex-snapshot
Joint Detection and Recounting of Abnormal Events by Learning Deep Generic Knowledge
inferredcites →https://doi.org/10.1109/iccv.2017.45openalex-snapshot
A Revisit of Sparse Coding Based Anomaly Detection in Stacked RNN Framework
inferredcites →https://doi.org/10.1109/iciinfs.2018.8721378openalex-snapshot
DEARESt: Deep Convolutional Aberrant Behavior Detection in Real-world Scenarios
inferredcites →https://doi.org/10.1109/icme.2017.8019325openalex-snapshot
Remembering history with convolutional LSTM for anomaly detection
inferredcites →https://doi.org/10.1109/ijcnn48605.2020.9207595openalex-snapshot
One-Shot Learning for Surveillance Anomaly Recognition using Siamese 3D CNN
inferredcites →https://doi.org/10.1109/jiot.2020.3027483openalex-snapshot
Multiview Summarization and Activity Recognition Meet Edge Computing in IoT Environments
inferredcites →https://doi.org/10.1109/tcds.2018.2883368openalex-snapshot
Abnormal Event Detection From Videos Using a Two-Stream Recurrent Variational Autoencoder
inferredcites →https://doi.org/10.1109/tpami.2007.70825openalex-snapshot
Robust Real-Time Unusual Event Detection using Multiple Fixed-Location Monitors
inferredcites →https://doi.org/10.1109/tpami.2013.111openalex-snapshot
Anomaly Detection and Localization in Crowded Scenes
inferredcites →https://doi.org/10.1111/1745-9133.12419openalex-snapshot
CCTV surveillance for crime prevention
inferredcites →https://doi.org/10.1145/3123266.3123451openalex-snapshot
Spatio-Temporal AutoEncoder for Video Anomaly Detection
inferredcites →https://doi.org/10.1145/3343031.3350871openalex-snapshot
Emotion Recognition using Multimodal Residual LSTM Network
inferredcites →https://doi.org/10.1155/2019/3581419openalex-snapshot
Personalized Movie Summarization Using Deep CNN‐Assisted Facial Expression Recognition
inferredcites →https://doi.org/10.1162/neco.1997.9.8.1735openalex-snapshot
Long Short-Term Memory
inferredcites →https://doi.org/10.21437/interspeech.2017-477openalex-snapshot
Residual LSTM: Design of a Deep Recurrent Architecture for Distant Speech Recognition
inferredcites →https://doi.org/10.3233/jifs-169908openalex-snapshot
Transfer learning for video anomaly detection
inferredcites →https://doi.org/10.3390/app10031020openalex-snapshot
Temporal Saliency-Based Suspicious Behavior Pattern Detection
inferredcites →https://doi.org/10.3390/app9224963openalex-snapshot
Cover the Violence: A Novel Deep-Learning-Based Approach Towards Violence-Detection in Movies
inferredcites →https://doi.org/10.3390/rs11131578openalex-snapshot
Anomaly Detection in Hyperspectral Imagery Based on Low-Rank Representation Incorporating a Spatial Constraint
inferredcites →https://doi.org/10.3390/s19112472openalex-snapshot
Violence Detection Using Spatiotemporal Features with 3D Convolutional Neural Network
inferredcites →https://doi.org/10.3390/s20010183openalex-snapshot
A CNN-Assisted Enhanced Audio Signal Processing for Speech Emotion Recognition
inferredcites →https://doi.org/10.48550/arxiv.1409.1556openalex-snapshot
Very Deep Convolutional Networks for Large-Scale Image Recognition
inferredcites →https://doi.org/10.48550/arxiv.1604.04574openalex-snapshot
Learning Temporal Regularity in Video Sequences
inferredcites →https://doi.org/10.48550/arxiv.1907.10211openalex-snapshot
Motion-Aware Feature for Improved Video Anomaly Detection
inferredcites →https://doi.org/10.48550/arxiv.2009.14146openalex-snapshot
A Survey on Deep Learning Techniques for Video Anomaly Detection

What points at this work

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

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Effective Surveillance using Computer Vision
inferred← citeshttps://doi.org/10.1109/icscds65426.2025.11167851openalex-snapshot
Reliable Data Transmission in Wireless Ad Hoc Networks using Advanced Deep Learning Techniques
inferred← citeshttps://doi.org/10.1109/icspis68676.2025.11551764openalex-snapshot
Human-Centric Anomaly Detection in Surveillance Videos Using YOLO-World and Spatio-Temporal Deep Learning
inferred← citeshttps://doi.org/10.1109/ictc55196.2022.9952688openalex-snapshot
Lightweight framework for the violence and falling-down event occurrence detection for surveillance videos
inferred← citeshttps://doi.org/10.1109/iicccs61609.2024.10763845openalex-snapshot
ML-Based Financial Forecasting in ERP: Improving Budgeting Accuracy with Long Short-Term Memory Networks
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Employee Engagement Prediction: A Comparative Study of Support Vector Machines and Neural Networks
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An Attention-Based Unsupervised Framework for Video Anomaly Detection in Large Heterogeneous Environments
inferred← citeshttps://doi.org/10.1109/mmul.2023.3289953openalex-snapshot
eCubeLand: An Intelligent Multiview Video Data Modeling
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IEEE Computer Society - Call for Papers
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Securing AIoT Surveillance: Techniques, Challenges, and Solutions
inferred← citeshttps://doi.org/10.1109/platcon63925.2024.10830670openalex-snapshot
Temporal Improvement of Video Traffic Anomaly Detection: A Positioning Paper
inferred← citeshttps://doi.org/10.1109/setcom64758.2025.10932630openalex-snapshot
Human Crime Anomaly Detection using Deep Learning
inferred← citeshttps://doi.org/10.1109/smartgencon56628.2022.10084028openalex-snapshot
Anomaly Detection Methods in Surveillance Videos: A Survey
inferred← citeshttps://doi.org/10.1109/swc57546.2023.10448698openalex-snapshot
Fast-DAVAD : Domain Adaptation for Fast Video Anomaly Detection on Resource-Constrained Edge Devices
inferred← citeshttps://doi.org/10.1109/tcsvt.2025.3632768openalex-snapshot
Toward Adaptive Human-Centric Video Anomaly Detection: A Comprehensive Framework and a New Benchmark
inferred← citeshttps://doi.org/10.1109/tip.2022.3207006openalex-snapshot
Optimized Dual Fire Attention Network and Medium-Scale Fire Classification Benchmark
inferred← citeshttps://doi.org/10.1109/tqcebt59414.2024.10545069openalex-snapshot
Utilizing Advanced Machine Learning Techniques for Effective Prediction and Control of Pandemic Outbreaks
inferred← citeshttps://doi.org/10.1111/coin.70073openalex-snapshot
An Innovative Sentiment Influenced Stock Market Prediction Based on Dual Scale Adaptive Residual Long Short Term Memory With Attention Mechanism
inferred← citeshttps://doi.org/10.1142/s0219467824500529openalex-snapshot
Two-Stream Spatial–Temporal Feature Extraction and Classification Model for Anomaly Event Detection Using Hybrid Deep Learning Architectures
inferred← citeshttps://doi.org/10.1142/s0219622023500621openalex-snapshot
Effective Video Event Detection Using Optimized Bidirectional Long Short-Term Memory Network
inferred← citeshttps://doi.org/10.1145/3749859.3749864openalex-snapshot
Improving Video Surveillance through ViViTRED: A Transformer-Based Detection Model for Rare and Abnormal Events
inferred← citeshttps://doi.org/10.1145/3783669.3783721openalex-snapshot
Virtual Reality-based Interior Design System: Enhancing Spatial Visualization and Collaboration
inferred← citeshttps://doi.org/10.1155/2022/2832661openalex-snapshot
Research on the Evaluation of Moral Education Effectiveness and Student Behavior in Universities under the Environment of Big Data
inferred← citeshttps://doi.org/10.1155/2022/3454167openalex-snapshot
Vision Transformer and Deep Sequence Learning for Human Activity Recognition in Surveillance Videos
inferred← citeshttps://doi.org/10.1155/2023/7868415openalex-snapshot
AD‐Graph: Weakly Supervised Anomaly Detection Graph Neural Network
inferred← citeshttps://doi.org/10.1155/hbe2/1617206openalex-snapshot
Multi‐Tier Spatiotemporal Network for Violence Recognition in Urban Surveillance Systems
inferred← citeshttps://doi.org/10.11591/ijeecs.v29.i1.pp421-430openalex-snapshot
An adaptive algorithm based on principal component analysis-deep learning for anomalous events detection
inferred← citeshttps://doi.org/10.11591/ijeecs.v31.i2.pp902-908openalex-snapshot
An adaptive combination algorithm based on deep learning and genetic algorithm for anomalous events detection
inferred← citeshttps://doi.org/10.14569/ijacsa.2023.0140472openalex-snapshot
A Review of the Recent Progress on Crowd Anomaly Detection
inferred← citeshttps://doi.org/10.14569/ijacsa.2023.0141279openalex-snapshot
Investigating of Deep Learning-based Approaches for Anomaly Detection in IoT Surveillance Systems
inferred← citeshttps://doi.org/10.17485/ijst/v15i36.550openalex-snapshot
Internet of Things with Deep Learning Enabled Fraud Detection in Surveillance Video Processing
inferred← citeshttps://doi.org/10.18280/ijsse.140326openalex-snapshot
VidAnomalyNet: An Efficient Anomaly Detection in Public Surveillance Videos Through Deep Learning Architectures
inferred← citeshttps://doi.org/10.19101/ijatee.2021.875907openalex-snapshot
Anomaly detection in surveillance videos based on H265 and deep learning
inferred← citeshttps://doi.org/10.21015/vtse.v13i1.2023openalex-snapshot
Efficient and Sustainable Video Surveillance Using CNN-LSTM Model for Suspicious Activity Detection
inferred← citeshttps://doi.org/10.21203/rs.3.rs-4514423/v1openalex-snapshot
Transfer Learning Model forAnomalous Event Recognition in Big Video Data
inferred← citeshttps://doi.org/10.2139/ssrn.5133091openalex-snapshot
Leveraging Machine Learning to Enhance Anomaly Detection in Video Surveillance in the Banking Sector
inferred← citeshttps://doi.org/10.2139/ssrn.7439314openalex-snapshot
From Optical Flow to State-Space Scanning: A Taxonomic Account of Architectural Families for Suspicious-Activity Detection in Surveillance Video
inferred← citeshttps://doi.org/10.22161/ijaems.910.2openalex-snapshot
Deep Learning Neural Networks in the Cloud
inferred← citeshttps://doi.org/10.22266/ijies2024.0630.45openalex-snapshot
Residual Attention based Long-Short Term Memory with Self Gated Rectified Linear Unit for Anomalous Behavior Detection
inferred← citeshttps://doi.org/10.23919/ccc58697.2023.10240970openalex-snapshot
Dual-Branch Framework with Convolutional Attentive Block for Video Anomaly Detection
inferred← citeshttps://doi.org/10.23919/indiacom66777.2025.11115381openalex-snapshot
Enhanced Anomaly Detection in Surveillance Footage
inferred← citeshttps://doi.org/10.24203/ijcit.v10i5.166openalex-snapshot
A Survey of Deep Learning Solutions for Anomaly Detection in Surveillance Videos
inferred← citeshttps://doi.org/10.24237/djes.2024.17307openalex-snapshot
Crime Activity Detection in Surveillance Videos Based on Developed Deep Learning Approach
inferred← citeshttps://doi.org/10.31987/ijict.5.3.207openalex-snapshot
DETECTION OF ANOMALOUS EVENTS BASED ON DEEP LEARNING-BILSTM
inferred← citeshttps://doi.org/10.32388/0n1ebcopenalex-snapshot
Exploring the Magnitude-Shape Plot Framework for Anomaly Detection in Crowded Video Scenes
inferred← citeshttps://doi.org/10.32604/cmc.2024.056767openalex-snapshot
Human Interaction Recognition in Surveillance Videos Using Hybrid Deep Learning and Machine Learning Models
inferred← citeshttps://doi.org/10.32604/csse.2023.034805openalex-snapshot
An Efficient Attention-Based Strategy for Anomaly Detection in Surveillance Video
inferred← citeshttps://doi.org/10.33130/ajct.2022v08i03.004openalex-snapshot
Utilizing the Internet of Things, Monitoring and Protecting System for Automated Teller Machines
inferred← citeshttps://doi.org/10.3390/a18020103openalex-snapshot
Building a Custom Crime Detection Dataset and Implementing a 3D Convolutional Neural Network for Video Analysis
inferred← citeshttps://doi.org/10.3390/app13084956openalex-snapshot
An Analysis of Artificial Intelligence Techniques in Surveillance Video Anomaly Detection: A Comprehensive Survey
inferred← citeshttps://doi.org/10.3390/app131910931openalex-snapshot
Activity Recognition Using Different Sensor Modalities and Deep Learning
inferred← citeshttps://doi.org/10.3390/app131910977openalex-snapshot
IoT Anomaly Detection to Strengthen Cybersecurity in the Critical Infrastructure of Smart Cities
inferred← citeshttps://doi.org/10.3390/app14093928openalex-snapshot
Efficient Crowd Anomaly Detection Using Sparse Feature Tracking and Neural Network
inferred← citeshttps://doi.org/10.3390/app15179249openalex-snapshot
An Online Modular Framework for Anomaly Detection and Multiclass Classification in Video Surveillance
inferred← citeshttps://doi.org/10.3390/app16083890openalex-snapshot
Advanced Technologies in Intelligent Software Methodologies, Tools, and Techniques
inferred← citeshttps://doi.org/10.3390/biom13010070openalex-snapshot
An Efficient Lightweight Hybrid Model with Attention Mechanism for Enhancer Sequence Recognition
inferred← citeshttps://doi.org/10.3390/electronics11162538openalex-snapshot
Abnormal Cockpit Pilot Driving Behavior Detection Using YOLOv4 Fused Attention Mechanism
inferred← citeshttps://doi.org/10.3390/en17174379openalex-snapshot
A Novel Approach for Predicting CO2 Emissions in the Building Industry Using a Hybrid Multi-Strategy Improved Particle Swarm Optimization–Long Short-Term Memory Model
inferred← citeshttps://doi.org/10.3390/fi16030083openalex-snapshot
Edge-Enhanced TempoFuseNet: A Two-Stream Framework for Intelligent Multiclass Video Anomaly Recognition in 5G and IoT Environments
inferred← citeshttps://doi.org/10.3390/math10091555openalex-snapshot
EADN: An Efficient Deep Learning Model for Anomaly Detection in Videos
inferred← citeshttps://doi.org/10.3390/math11051174openalex-snapshot
FADS: An Intelligent Fatigue and Age Detection System
inferred← citeshttps://doi.org/10.3390/rs13101962openalex-snapshot
Hybrid Attention Based Residual Network for Pansharpening
inferred← citeshttps://doi.org/10.3390/s21123993openalex-snapshot
Semi-Supervised Anomaly Detection in Video-Surveillance Scenes in the Wild
inferred← citeshttps://doi.org/10.3390/s22010323openalex-snapshot
Human Activity Recognition via Hybrid Deep Learning Based Model
inferred← citeshttps://doi.org/10.3390/s22072602openalex-snapshot
An Efficient and Effective Deep Learning-Based Model for Real-Time Face Mask Detection
inferred← citeshttps://doi.org/10.3390/s22166080openalex-snapshot
Taxonomy of Anomaly Detection Techniques in Crowd Scenes
inferred← citeshttps://doi.org/10.3390/s22166105openalex-snapshot
Facial Emotion Recognition in Verbal Communication Based on Deep Learning
inferred← citeshttps://doi.org/10.3390/s22239383openalex-snapshot
Deep Multi-Scale Features Fusion for Effective Violence Detection and Control Charts Visualization
inferred← citeshttps://doi.org/10.3390/s23020945openalex-snapshot
Solar Power Prediction Using Dual Stream CNN-LSTM Architecture
inferred← citeshttps://doi.org/10.3390/s23031612openalex-snapshot
A Feature-Trajectory-Smoothed High-Speed Model for Video Anomaly Detection
inferred← citeshttps://doi.org/10.3390/s23042358openalex-snapshot
An IoT Enable Anomaly Detection System for Smart City Surveillance
inferred← citeshttps://doi.org/10.3390/s23249679openalex-snapshot
Spatio-Temporal Anomaly Detection with Graph Networks for Data Quality Monitoring of the Hadron Calorimeter
inferred← citeshttps://doi.org/10.3390/s25010251openalex-snapshot
Deep BiLSTM Attention Model for Spatial and Temporal Anomaly Detection in Video Surveillance
inferred← citeshttps://doi.org/10.3390/smartcities4040079openalex-snapshot
Real-Time Littering Activity Monitoring Based on Image Classification Method
inferred← citeshttps://doi.org/10.36227/techrxiv.22146914openalex-snapshot
Deep Neural Networks in Video Human Action Recognition: A review
inferred← citeshttps://doi.org/10.36227/techrxiv.22146914.v1openalex-snapshot
Deep Neural Networks in Video Human Action Recognition: A review
inferred← citeshttps://doi.org/10.36227/techrxiv.24162678openalex-snapshot
A Systematic Review of Rare Events Detection Across Modalities using Machine Learning and Deep Learning
inferred← citeshttps://doi.org/10.4018/979-8-3373-0746-6.ch005openalex-snapshot
Exploring the Magnitude-Shape Plot Framework for Anomaly Detection in Crowded Video Scenes
inferred← citeshttps://doi.org/10.4018/979-8-3373-3795-1.ch008openalex-snapshot
Human Detection and Intelligent Action Recognition for Automatic Visual Surveillance and Monitoring Systems
inferred← citeshttps://doi.org/10.48084/etasr.11463openalex-snapshot
Abnormal Human Behavior Detection Improvement with an Efficient Attention Block
inferred← citeshttps://doi.org/10.48084/etasr.9810openalex-snapshot
Deep Context-Aware Feature Extraction for Anomaly Detection in Surveillance Videos
inferred← citeshttps://doi.org/10.5121/ijcseit.2023.13402openalex-snapshot
An Overview of Various Techniques Involved in Detection of Anomalies from Surveillance Cameras
inferred← citeshttps://doi.org/10.70675/f1ab299cz0829z4deczaf67zdd2b12bdb885openalex-snapshot
Enhancing Video Anomaly Detection by Leveraging Advanced Deep Learning Techniques
inferred← citeshttps://doi.org/10.7287/peerj-cs.1117v0.1/reviews/1openalex-snapshot
Peer Review #1 of "Efficient anomaly recognition using surveillance videos (v0.1)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.1117v0.1/reviews/3openalex-snapshot
Peer Review #3 of "Efficient anomaly recognition using surveillance videos (v0.1)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.1117v0.2/reviews/1openalex-snapshot
Peer Review #1 of "Efficient anomaly recognition using surveillance videos (v0.2)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.1117v0.2/reviews/3openalex-snapshot
Peer Review #3 of "Efficient anomaly recognition using surveillance videos (v0.2)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.1117v0.3/reviews/1openalex-snapshot
Peer Review #1 of "Efficient anomaly recognition using surveillance videos (v0.3)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.1117v0.3/reviews/3openalex-snapshot
Peer Review #3 of "Efficient anomaly recognition using surveillance videos (v0.3)"
inferred← citeshttps://doi.org/10.7717/peerj-cs.1117openalex-snapshot
Efficient anomaly recognition using surveillance videos
inferred← citeshttps://doi.org/10.7717/peerj-cs.1995openalex-snapshot
DenseHillNet: a lightweight CNN for accurate classification of natural images
inferred← citeshttps://doi.org/10.7717/peerj-cs.2944openalex-snapshot
A new approach of anomaly detection in shopping center surveillance videos for theft prevention based on RLCNN model
inferred← citeshttps://doi.org/10.9781/ijimai.2023.05.006openalex-snapshot
ConvGRU-CNN: Spatiotemporal Deep Learning for Real-World Anomaly Detection in Video Surveillance System.
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.