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Poster Abstract: Smart Urban Surveillance Using Fog Computing

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What this work says

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

inferredcites →https://doi.org/10.1109/bigmm.2016.53openalex-snapshot
Dynamic Urban Surveillance Video Stream Processing Using Fog Computing
inferredcites →https://doi.org/10.1117/12.2223975openalex-snapshot
Real-time WAMI streaming target tracking in fog

What points at this work

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

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Real-Time Surveillance Video Analytics: A Survey on the Computing Infrastructures
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A Comprehensive Study of Edge Computing Over Cloud Computing and the Application of Edge Computing in the Field of Augmented Reality and Virtual Reality
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Privacy-Protective Distributed Machine Learning Between Rich Devices and Edge Servers Using Confidence Level
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Fog computing in enabling 5G-driven emerging technologies for development of sustainable smart city infrastructures
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Designing an intelligent image detection and transmission system for the Internet of Things
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Edge and fog computing for IoT: A survey on current research activities & future directions
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UAV assistance paradigm: State-of-the-art in applications and challenges
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A review of video surveillance systems
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Edge computing enabled video segmentation for real-time traffic monitoring in internet of vehicles
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Dynamic heatmap pyramid computation for massive high-parallel spatial streaming in urban environments
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Smart City Using Cloud Services: A Systematic Literature Review
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Object Tracking in Vary Lighting Conditions for Fog Based Intelligent Surveillance of Public Spaces
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Calculation of Average Road Speed Based on Car-to-Car Messaging
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Kerman: A Hybrid Lightweight Tracking Algorithm to Enable Smart Surveillance as an Edge Service
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Smart Surveillance as an Edge Network Service: From Harr-Cascade, SVM to a Lightweight CNN
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Secure Feedback to Edge Servers in Distributed Machine Learning Using Rich Clients
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Survey of Fog Computing: Fundamental, Network Applications, and Research Challenges
inferred← citeshttps://doi.org/10.1109/csnt48778.2020.9115789openalex-snapshot
Precedence & Issues of IoT based on Edge Computing
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BlendCAC: A BLockchain-Enabled Decentralized Capability-Based Access Control for IoTs
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inferred← citeshttps://doi.org/10.1109/edge.2018.00025openalex-snapshot
Real-Time Human Detection as an Edge Service Enabled by a Lightweight CNN
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Ultra-Low Latency Service Provision in Edge Computing
inferred← citeshttps://doi.org/10.1109/icc.2018.8422970openalex-snapshot
Real-Time Human Objects Tracking for Smart Surveillance at the Edge
inferred← citeshttps://doi.org/10.1109/icit.2018.00062openalex-snapshot
Service Placement in Fog Computing Environment
inferred← citeshttps://doi.org/10.1109/icit48102.2019.00035openalex-snapshot
An Optimal Task Scheduling Towards Minimized Cost and Response Time in Fog Computing Infrastructure
inferred← citeshttps://doi.org/10.1109/infcomw.2017.8116487openalex-snapshot
Online anomalous vehicle detection at the edge using multidimensional SSA
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Prophet: An Efficient Feature Indexing Mechanism for Similarity Data Sharing at Network Edge
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Intelligence Beyond the Edge using Hyperdimensional Computing
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An Improved Sierpinski Fractal Based Network Architecture for Edge Computing Datacenters
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A Scalable Testbed for Task Offloading and Deployment of Heterogeneous Edge Computing
inferred← citeshttps://doi.org/10.1109/jiot.2019.2936504openalex-snapshot
VU: Edge Computing-Enabled Video Usefulness Detection and its Application in Large-Scale Video Surveillance Systems
inferred← citeshttps://doi.org/10.1109/jiot.2019.2957035openalex-snapshot
Reliable Fog-Based Crowdsourcing: A Temporal–Spatial Task Allocation Approach
inferred← citeshttps://doi.org/10.1109/sigtelcom49868.2020.9199058openalex-snapshot
DLASE: A light-weight framework supporting Deep Learning for Edge Devices
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Enabling Smart Urban Surveillance at The Edge
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A Smart Wireless IoT Ring for Real-Time Keystroke Recognition Using Edge Computing
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A Comprehensive Survey on Multi‐Facet Fog‐Computing Resource Management Techniques, Trends, Applications and Future Directions
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Face recognition in low-resolution surveillance video streams
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Decentralized smart surveillance through microservices platform
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High speed object tracking using edge computing
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Edge Intelligence: Concepts, Architectures, Applications, and Future Directions
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Detecting Malicious False Frame Injection Attacks on Surveillance Systems at the Edge Using Electrical Network Frequency Signals
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A Low-Cost Vehicular Traffic Monitoring System Using Fog Computing
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Design and Development of a Fog-Assisted Elephant Corridor over a Railway Track
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Object Detection in Fog Computing Using Machine Learning Algorithms
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Object Detection in Fog Computing Using Machine Learning Algorithms
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