Edge Video Analytics for Public Safety: A Review

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Fully-Convolutional Siamese Networks for Object Tracking

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The Internet of Things for Health Care: A Comprehensive Survey

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Deep Learning Face Representation from Predicting 10,000 Classes

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Improved adaptive Gaussian mixture model for background subtraction

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Deep Learning Face Representation by Joint Identification-Verification

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Data-Driven Intelligent Transportation Systems: A Survey

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Improved Adaptive Gaussian Mixture Model for Background Subtraction

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Boosting a Weak Learning Algorithm by Majority

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Color-Based Probabilistic Tracking

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A convolutional neural network cascade for face detection

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Multimodal Data Fusion: An Overview of Methods, Challenges, and Prospects

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Learning to Track at 100 FPS with Deep Regression Networks

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The Visual Object Tracking VOT2015 Challenge Results

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Temporal Action Detection with Structured Segment Networks

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Learning to detect objects in images via a sparse, part-based representation

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DeepID3: Face Recognition with Very Deep Neural NetworksPreprint

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UAV-Based IoT Platform: A Crowd Surveillance Use Case

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Neurosurgeon: Collaborative Intelligence Between the Cloud and Mobile Edge

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Blessing of Dimensionality: High-Dimensional Feature and Its Efficient Compression for Face Verification

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The Visual Object Tracking VOT2014 Challenge Results

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Early fire detection using convolutional neural networks during surveillance for effective disaster management

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Face recognition by support vector machines

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Fall Detection in Homes of Older Adults Using the Microsoft Kinect

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Real-Time Video Analytics: The Killer App for Edge Computing

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Robust Video Surveillance for Fall Detection Based on Human Shape Deformation

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Chameleon: scalable adaptation of video analytics

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Bayesian Face Revisited: A Joint Formulation

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An Unmanned Aircraft System for Automatic Forest Fire Monitoring and Measurement

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Driver Behavior Analysis for Safe Driving: A Survey

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Convolutional neural network for video fire and smoke detection

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Fall detection system using Kinect’s infrared sensor

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Untitled work

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VideoEdge: Processing Camera Streams using Hierarchical Clusters

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A Deep Normalization and Convolutional Neural Network for Image Smoke Detection

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Applications of video-content analysis and retrieval

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The Design and Implementation of a Wireless Video Surveillance System

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Vehicle Detection Using Normalized Color and Edge Map

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Spatio-Temporal Flame Modeling and Dynamic Texture Analysis for Automatic Video-Based Fire Detection

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Google Glass in pediatric surgery: An exploratory study

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LAVEA: latency-aware video analytics on edge computing platform

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Fog Computing Based Face Identification and Resolution Scheme in Internet of Things

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Bandwidth-Efficient Live Video Analytics for Drones Via Edge Computing

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A Traffic Accident Recording and Reporting Model at Intersections

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Automatic Vehicle Identification By Plate Recognition

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Fire detection using infrared images for UAV-based forest fire surveillance

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A Contour-Based Moving Object Detection and Tracking

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Smart Monitoring Cameras Driven Intelligent Processing to Big Surveillance Video Data

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Human fall detection in surveillance video based on PCANet

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A UAV-Cloud System for Disaster Sensing Applications

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Traffic-Incident Detection-Algorithm Based on Nonparametric Regression

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Deep Reinforcement Learning for Visual Object Tracking in VideosPreprint

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Smoke Detection Based on Deep Convolutional Neural Networks

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Video Stream Analysis in Clouds: An Object Detection and Classification Framework for High Performance Video Analytics

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Firefighting Robot Stereo Infrared Vision and Radar Sensor Fusion for Imaging through Smoke

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Google Glass for Documentation of Medical Findings: Evaluation in Forensic Medicine

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A robust background subtraction method for changing background

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Edge Computing in IoT Ecosystems for UAV-Enabled Early Fire Detection

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LAVEA: Latency-Aware Video Analytics on Edge Computing Platform

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Firework: Data Processing and Sharing for Hybrid Cloud-Edge Analytics

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A Saliency-Based Method for Early Smoke Detection in Video Sequences

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The implementation of an intelligent and video-based fall detection system using a neural network

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Intelligent Video Surveillance as a Service

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Demo Abstract: EVAPS: Edge Video Analysis for Public Safety

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An integrated fire detection and suppression system based on widely available video surveillance

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Feature Selection for Intelligent Firefighting Robot Classification of Fire, Smoke, and Thermal Reflections Using Thermal Infrared Images

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Passenger Compartment Violation Detection in HOV/HOT Lanes

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IOT based Smart Traffic Signal Violation Monitoring System using Edge Computing

Meghana, V., Anisha, B. S., & Kumar, P. (2021) · IEEE Global Conference for Advancement in Technology (GCAT) · doi:10.1109/gcat52182.2021.9587585 · Cited by 8 · see citing works

ParaLoupe: Real-Time Video Analytics on Edge Cluster via Mini Model Parallelization

Wang, H., Li, Q., Kang, H., Hu, D., Ma, L., Gareth Tyson, A., Yuan, Z., & Jiang, Y. (2024) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2024.3438155 · Cited by 8 · see citing works

Task-Oriented Integrated Sensing and Semantic Communications for Multi-Device Video Analytics

He, Y., Li, X., & Luo, J. (2025) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2025.3641899 · Cited by 7 · see citing works

Scheduling DNN Inferencing on Edge and Cloud for Personalized UAV Fleets

Raj, S., Gupta, H., & Simmhan, Y. L. (2023) · IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid) · doi:10.1109/ccgrid57682.2023.00063 · Cited by 7 · see citing works

Advanced algorithms for UAV tracking of targets exhibiting start-stop and irregular motion

Nishad, D. K., Khalid, S., Prakash, D., Singh, V. K., & Sahani, P. (2025) · Scientific Reports · doi:10.1038/s41598-025-13698-6 · Cited by 6 · see citing works

Metasurfaces for Edge Detection and Spatial Differentiation in Free Space

Cui, X., He, S., Li, Z., Chen, T., Zhang, X., Sun, Y., Wu, Y., Guan, J., & Hu, J. (2026) · Advanced Functional Materials · doi:10.1002/adfm.74788 · Cited by 6 · see citing works

AI and core electoral processes: Mapping the horizons

Deepak, P., Simoes, S., & MacCárthaigh, M. (2023) · AI Magazine · doi:10.1002/aaai.12105 · Cited by 13 · see citing works

Latency-Aware Microservice Deployment for Edge AI Enabled Video Analytics

Yang, Z., Yu, Z., Liu, X., Wen, D., Zhou, Y., & Shi, Y. (2024) · IEEE Wireless Communications and Networking Conference · doi:10.1109/wcnc57260.2024.10571167 · Cited by 6 · see citing works

Rural policing in China: Criminal investigation and policing resources for police officers

Keke, P., Mengxi, G., Hui-jun, C., Jinyao, T., Yuqiu, X., & Feng, J. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e18934 · Cited by 6 · see citing works

Algorithm and Architecture Design of FAST-C Image Corner Detection Engine

Lee, Y.-H., Chen, T.-C., Liang, H.-C., & Liao, J.-X. (2020) · IEEE Transactions on Very Large Scale Integration (VLSI) Systems · doi:10.1109/tvlsi.2020.3031294 · Cited by 6 · see citing works

Real-time video surveillance on highways using combination of extended Kalman Filter and deep reinforcement learning

Fu, L., Zhang, Q., & Tian, S. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e26467 · Cited by 5 · see citing works

Time-Optimized Detection of Cardiovascular Complications with Artificial Intelligence in Rescue Operations using FPGA-based Wearable

Ezekiel, A. M., & Obermaisser, R. (2023) · International Congress on Human-Computer Interaction, Optimization and Robotic Applications (ICHORA) · doi:10.1109/hora58378.2023.10155786 · Cited by 5 · see citing works

Face and Action Detection for Crime Prevention: Balancing Promise and Ethical Considerations

Jyothi, A. P., Kumar, M., Pravallika, V. S. S., Saha, R., Sanjana, K., Varshitha, V. S., Shankar, A., & Narayan, A. (2023) · International Conference on Integrated Intelligence and Communication Systems (ICIICS) · doi:10.1109/iciics59993.2023.10421523 · Cited by 5 · see citing works

Use of ICTs to confront climate change: analysis and perspectives

Escobar-Teran, F., Zapata, J., Briones, F., Rosero, M., & Portilla, J. (2025) · Frontiers in Climate · doi:10.3389/fclim.2025.1436616 · Cited by 5 · see citing works

Multi-exit DNN inference acceleration for intelligent terminal with heterogeneous processors

Zhang, J., Xin, W., Lv, D., Wang, J., Cai, G., & Dong, F. (2023) · Sustainable Computing Informatics and Systems · doi:10.1016/j.suscom.2023.100906 · Cited by 4 · see citing works

Scalable Big Data Pipeline for Video Stream Analytics Over Commodity Hardware

Ayub, U., Ahsan, S. M., & Qureshi, S. M. (2022) · KSII Transactions on Internet and Information Systems · doi:10.3837/tiis.2022.04.004 · Cited by 4 · see citing works

Computer Vision in the Infrared Spectrum: Challenges and Approaches

Teutsch, M., Sappa, A. D., & Hammoud, R. I. (2021) · Synthesis lectures on computer vision · doi:10.2200/s01127ed1v01y202109cov019 · Cited by 4 · see citing works

Role of AI and Big Data Analytics in UAV‐Enabled IoT Applications for Smart Cities

Wakode, M. S. (2021) · Wiley eBooks · doi:10.1002/9781119769170.ch11 · Cited by 4 · see citing works

Lightweight CNN-Based Deep Neural Networks Application in Safety Measurement

Lua, W. K. H., Yau, P. C., Seow, C. K., & Wong, D. (2022) · International Conference on Pattern Recognition and Artificial Intelligence (PRAI) · doi:10.1109/prai55851.2022.9904161 · Cited by 3 · see citing works

Online Optimization of Offloading Video Analytics Tasks to Multiple Edges for Accuracy Maximization

Liang, Y., Zhang, S., & Wu, J. (2025) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp49660.2025.10887875 · Cited by 3 · see citing works

A Video Capturing and Processing Platform Based on Mobile Edge Computing

Zhao, Y., An, R., Ou, D., & Jiang, C. (2020) · International Conference on Computer, Information and Telecommunication Systems · doi:10.1109/cits49457.2020.9232607 · Cited by 3 · see citing works

Survey on Advanced Video Streaming with Multi-Access Edge Computing

Kim, H., Kim, M., & Paek, J. (2022) · International Conference on Information and Communication Technology Convergence (ICTC) · doi:10.1109/ictc55196.2022.9953002 · Cited by 3 · see citing works

COUPLE: Orchestrating Video Analytics on Heterogeneous Mobile Processors

Bao, H., Zhou, Z., Xu, F., & Chen, X. (2024) · IEEE International Conference on Data Engineering (ICDE) · doi:10.1109/icde60146.2024.00128 · Cited by 3 · see citing works

Optimizing Confidence Thresholds for Cooperative Inference in Edge-AI Surveillance Systems: Avoiding the Fate of ‘The Boy Who Cried Wolf’

Choi, H.-H., Lee, K., & Lee, K.-H. (2025) · IEEE Consumer Communications and Networking Conference · doi:10.1109/ccnc54725.2025.10975989 · Cited by 3 · see citing works

Optimal Confidence Thresholds for Cooperative Inference in Intelligent Surveillance Systems

Choi, H.-H., Lee, K.-H., & Lee, K. (2025) · IEEE Internet of Things Journal · doi:10.1109/jiot.2025.3594344 · Cited by 3 · see citing works

SMART-TeleLoad: A new graphic user interface to generate affective loads for teleoperation

Jo, W., Cha, G.-E., Foti, D., & Min, B. (2024) · SoftwareX · doi:10.1016/j.softx.2024.101757 · Cited by 3 · see citing works

Towards Timely Edge-assisted Video Analytics Services

Li, X., Zhang, S., Huang, Y., Ma, X., Wang, Z., & Luo, H. (2023) · IEEE International Conference on Web Services (ICWS) · doi:10.1109/icws60048.2023.00063 · Cited by 2 · see citing works

Towards Edge-Cloud Architectures for Personal Protective Equipment Detection

Legierski, J., Rachwał, K., Sowiński, P., Niewolski, W., Ratuszek, P., Kopertowski, Z., Paprzycki, M., & Ganzha, M. (2022) · International Conference on Information Management & Machine Intelligence (ICIMMI) · doi:10.1145/3590837.3590921 · Cited by 2 · see citing works

Boggart: Accelerating Retrospective Video Analytics via Model-Agnostic Ingest Processing.Preprint

Agarwal, N., & Netravali, R. (2021) · arXiv (Cornell University) · Cited by 2 · see citing works

Genomic Data Analysis With Optimized Convolutional Neural Network (CNN) for Edge Applications

Venkateshalu, S., Deshpande, S. L., & Pannyagol, B. (2023) · doi:10.1002/9781394213726.ch6 · Cited by 2 · see citing works

A video data analytics framework for managerial decision support in the hospitality industry

Mousavian, S., Miah, S. J., & Hunt, S. (2025) · Journal of Business Analytics · doi:10.1080/2573234x.2025.2514190 · Cited by 1 · see citing works

Edge AI for Real-Time Video Analytics in Public Safety

Sundaram, P. S. S. S., & Gokilamani, S. S. R. (2026) · International Journal for Research in Applied Science and Engineering Technology · doi:10.22214/ijraset.2026.83358

Real-Time Video Analytics: The Killer App for Edge Computing

Ananthanarayanan, G., Bahl, P., Bodik, P., Chintalapudi, K., Philipose, M., Ravindranath, L., & Sinha, S. (2017) · Computer · doi:10.1109/mc.2017.3641638 · Cited by 496 · see citing works

Real-Time Video Analytics at the Edge

Sengar, A. S., Bhatt, M., Bordoloi, D., Sumathi, P., Rashid, S. Z., & Parthasarathy, B. (2026) · CRC Press eBooks · doi:10.1201/9781003598312-131

Demo Abstract: EVAPS: Edge Video Analysis for Public Safety

Zhang, Q., Yu, Z., Shi, W., & Zhong, H. (2016) · 2016 IEEE/ACM Symposium on Edge Computing (SEC) · doi:10.1109/sec.2016.30 · Cited by 51 · see citing works

Enhancing Public Safety Situational Awareness Using Edge Intelligence

Lira, P., Loss, S. M., Costa, K., de Araújo, D. S. A., Neto, A. R., Cacho, N., Batista, T., Cavalcante, E., Lopes, F., & Nogueira, E. (2025) · WiPiEC Journal - Works in Progress in Embedded Computing Journal · doi:10.64552/wipiec.v11i1.88