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Adaptive Edge and Fog Computing Paradigm for Wide Area Video and Audio Surveillance

Ioannis Ledakis, Thanassis Bouras, George Kioumourtzis, Michalis Skitsas
2018 Zenodo  
Edge computing is realized by a camera embedded system, cloud computing with the usage of public accessible infrastructure for data processing and fog computing for the processing and data fusion of video  ...  and edge.  ...  Any device with computing, storage, and network connectivity can be a fog node. Examples include industrial controllers, switches, routers, embedded servers, and video surveillance cameras.  ... 
doi:10.5281/zenodo.2359817 fatcat:irvnfqycdvd5tfb7svm4k3wy7m

Smart Surveillance System Real-Time Multi-Person Multi-Camera Tracking at the Edge

Shruti Khule, Supriya Jaybhay, Pranjal Metkari, Prof. Balasaheb Balkhande
2022 International Journal for Research in Applied Science and Engineering Technology  
On the other hand, the rise of the Internet of Things (IoT) and edge computing, has led to many research works that propose distributed video-surveillance systems based on this notion.  ...  Instead, this paper presents a system that incorporates AI algorithms into low-power embedded devices.  ...  To build a fully functioning surveillance system that incorporates cutting-edge technology like Edge computing. B. Incorporate AI algorithms in low-power embedded devices. C.  ... 
doi:10.22214/ijraset.2022.40954 fatcat:prusm2kqmnbx5nlbharqh7vrem

Wide Area Video Surveillane Based On Edge And Fog Computing Concept

George Kioumourtzis, Michael Skitsas, N Zotos, A Sideris
2017 Zenodo  
In this paper, we describe a novel architecture for a smart surveillance system based on edge and fog computing concepts.  ...  Edge computing is realized by a camera embedded system while fog computing is used for the processing and data fusion of video streams in small areas.  ...  Any device with computing, storage, and network connectivity can be a fog node. Examples include industrial controllers, switches, routers, embedded servers, and video surveillance cameras.  ... 
doi:10.5281/zenodo.1138595 fatcat:hxhckxsetvatzpcv3g24zdkd7i

A Lightweight Blockchain-based Privacy Protection for Smart Surveillance at the Edge [article]

Alem Fitwi, Yu Chen, Sencun Zhu
2019 arXiv   pre-print
The policy-based enforcement of privacy measures is carried out at the edge devices for real-time video analytics without cluttering the network.  ...  In this paper, we propose a Lightweight, Blockchain-based Privacy protection (Lib-Pri) scheme for surveillance cameras at the edge.  ...  The smart cameras are the edge devices with embedded configurable set of privacy policies.  ... 
arXiv:1909.09845v1 fatcat:za6quv4zjbddbketozfnanlb24

Trends of Video Surveillance and Embedded Systems in 2017

Papri Ghosh
2017 International Journal of Computational Intelligence Research  
Video surveillance is one of the most data intensive applications.  ...  A typical video surveillance system consists of one or multiple video cameras, a central storage unit, and a central processing unit.  ...  with video surveillance devices to develop the level of intelligence that is embedded on them; this will further drive the trend away from pure server-based analytics in 2017.  ... 
doi:10.37622/ijcir/13.5.2017.1119-1122 fatcat:b67fzhj3w5bepjtxkxq2dckeqm

A Surveillance Video Real-Time Analysis System Based on Edge-Cloud and FL-YOLO Cooperation in Coal Mine

Zhi Xu, Jingzhao Li, Mei Zhang
2021 IEEE Access  
Edge computing is used to analyze surveillance video in realtime with FL-YOLO algorithm.  ...  Based on the transfer learning [44] [45], the dedicated model is optimized for the dataset with single scene. The single scene denotes the area which monitored by an edge device with general model.  ... 
doi:10.1109/access.2021.3077499 fatcat:n4qejqor6fflzgbkzxnqvbwum4

Special section on emerging multimedia technology for smart surveillance system with IoT environment

Brian Kim, Kostas Psannis, Harish Bhaskar
2017 Journal of Supercomputing  
Smart surveillance system is mainly composed of automatic video/audio analysis.  ...  The internet-of-things (IoT) can be defined as the interconnection of uniquely identifiable embedded computing devices within the existing Internet infrastructure.  ...  Lee et al. propose a block chain-based secure firmware update for embedded devices in IoT environment.  ... 
doi:10.1007/s11227-016-1939-9 fatcat:lbxlzjjfpzdipfpba24cjulvea

Detecting Malicious False Frame Injection Attacks on Surveillance Systems at the Edge Using Electrical Network Frequency Signals

Deeraj Nagothu, Yu Chen, Erik Blasch, Alexander Aved, Sencun Zhu
2019 Sensors  
For surveillance system video/audio recordings connected to the power grid, the ENF signals are embedded.  ...  the surveillance feed using the embedded Electrical Network Frequency (ENF) signals.  ...  Along with robust audio-based ENF extraction, video-based ENF extraction module could be added.  ... 
doi:10.3390/s19112424 fatcat:3ubxcbmvafdflhuyzqbrl5d5eu

Proactivecloud Resources Management At Theedge Forefficientreal-Time Big Data Processing

Harald Schöning
2017 Zenodo  
edge processing based on Regional Processing Units (RPUs) forming clusters of embedded systems • fog computing with camera-built embedded systemsSurveillance System Overview• Video Analytics: module  ...  Testbed: wide area video surveillance system including static cameras and UAV-based cameras Application areas: gather video streams from the cameras, store, and provide security threat notifications  ...  devices and generally resources at the edge • coordinate and orchestrate distributed resources Going beyond state-of-the-art detection of anomalous situations on the fly (not predefined anomalies):   ... 
doi:10.5281/zenodo.1138578 fatcat:ll3vehr6crhb5i2yjlkhzaca5i

Real-Time Index Authentication for Event-Oriented Surveillance Video Query using Blockchain [article]

Seyed Yahya Nikouei, Ronghua Xu, Deeraj Nagothu, Yu Chen, Alexander Aved, Erik Blasch
2018 arXiv   pre-print
However, exchanging the index information among devices in different layers raises security concerns where an adversary can capture or tamper with features to mislead the surveillance system.  ...  Information from surveillance video is essential for situational awareness (SAW).  ...  The surveillance camera captures the video and transfers it to the edge/fog devices of choice in real-time.  ... 
arXiv:1807.06179v1 fatcat:h3qjfdr6bjfs3i6i6b3xml4dxi

An Embedded Cloud-Based Video Surveillance System

Aderonke J. Ikuomola
2019 Advances in Multidisciplinary & Scientific Research Journal Publication  
With embedded cloud-based video surveillance system, the camera is activated when motion is detected and the video clips are sent to the user mail through the use of python script.  ...  In this work, an embedded cloud-based video surveillance system was designed.  ...  The architecture of an embedded cloud-based video surveillance system is presented in figure 1 .  ... 
doi:10.22624/aims/cisdi/v10n1p1x fatcat:y3iwoasrdref3j53htht7mt7cq

An Embedded Cloud-Based Video Surveillance System

Aderonke J. Ikuomola
2019 Advances in Multidisciplinary & Scientific Research Journal Publication  
With embedded cloud-based video surveillance system, the camera is activated when motion is detected and the video clips are sent to the user mail through the use of python script.  ...  In this work, an embedded cloud-based video surveillance system was designed.  ...  The architecture of an embedded cloud-based video surveillance system is presented in figure 1 .  ... 
doi:10.22624/aims/cisdi/v10n1p1 fatcat:wwaqxq4zvvbwjjecosjy4ziza4

Anomaly Detection in Residential Video Surveillance on Edge Devices in IoT Framework [article]

Mayur R. Parate, Kishor M. Bhurchandi, Ashwin G. Kothari
2021 arXiv   pre-print
The elements of an anomaly detection framework are optimized to run on CPU-only edge devices with sufficient frames per second (FPS).  ...  Therefore, we propose anomaly detection for intelligent surveillance using CPU-only edge devices. A modular framework to capture object-level inferences and tracking is developed.  ...  With the advancement in the terminal or edge devices, few contributions are observed in detecting anomalies at the edge or terminal devices.  ... 
arXiv:2107.04767v2 fatcat:xnwbgcxd7zfq7epjx362t7mewi

Horizontal Review on Video Surveillance for Smart Cities: Edge Devices, Applications, Datasets, and Future Trends

Mostafa Ahmed Ezzat, Mohamed A. Abd El Ghany, Sultan Almotairi, Mohammed A.-M. Salem
2021 Sensors  
Namely, the application of video surveillance in smart cities, algorithms, datasets, and embedded systems.  ...  In this paper, we discuss the latest datasets used, the algorithms used, and the recent advances in embedded systems to form edge vision computing are introduced.  ...  Together with IoT based sensing cameras and devices, crowdsourcing is a important tool for surveillance. Niforatos et al.  ... 
doi:10.3390/s21093222 pmid:34066509 fatcat:27lploodmvdl3k36x4jzw2acly

Real Time Motion Detection using Dynamic Camera

Mayuri Konde, Manasi Chaudhari, Vikas Yadav, Vidya Kadam
2015 International Journal of Computer Applications  
Index Terms Image processing, voting based motion estimation algorithm, Priority based spatial coding algorithm, content based temporal sampling algorithm, Video Surveillance system.  ...  In this system, dynamic camera is used for video surveillance which will feed video stream to system. System will perform various image processing operations to detect the object.  ...  CONTENT BASED TEMPORAL SAMPLING In surveillance system with high end camera devices frame rate is high and change of view cause by motion of dynamic camera is very small due to that consecutive captured  ... 
doi:10.5120/19990-1651 fatcat:oocilojyjbg2hbq7wgm3zdotlu
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