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Secure Video Surveillance Framework in Smart City [PDF]
Sensors, 2021 In the construction process of smart cities, more and more video surveillance systems have been deployed for traffic, office buildings, shopping malls, and families. Thus, the security of video surveillance systems has attracted more attention.
Hao Li +4 more
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Deep Learning-Based Anomaly Detection in Video Surveillance: A Survey. [PDF]
Sensors (Basel), 2023 Anomaly detection in video surveillance is a highly developed subject that is attracting increased attention from the research community. There is great demand for intelligent systems with the capacity to automatically detect anomalous events in ...
Duong HT, Le VT, Hoang VT.
europepmc +2 more sources
Real-Time Abnormal Object Detection for Video Surveillance in Smart Cities. [PDF]
Sensors (Basel), 2022 With the adaptation of video surveillance in many areas for object detection, monitoring abnormal behavior in several cameras requires constant human tracking for a single camera operative, which is a tedious task.
Ingle PY, Kim YG.
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AVSS: Airborne Video Surveillance System [PDF]
Sensors, 2018 Most surveillance systems only contain CCTVs. CCTVs, however, provide only limited maneuverability against dynamic targets and are inefficient for short term surveillance.
Jongtack Jung +5 more
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Anomaly detection using edge computing in video surveillance system: review. [PDF]
Int J Multimed Inf Retr, 2022 The current concept of smart cities influences urban planners and researchers to provide modern, secured and sustainable infrastructure and gives a decent quality of life to its residents.
Patrikar DR, Parate MR.
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Smart Video Surveillance System Based on Edge Computing. [PDF]
Sensors (Basel), 2021 New processing methods based on artificial intelligence (AI) and deep learning are replacing traditional computer vision algorithms. The more advanced systems can process huge amounts of data in large computing facilities.
Cob-Parro AC +4 more
europepmc +2 more sources
Application of region-based video surveillance in smart cities using deep learning. [PDF]
Multimed Tools Appl, 2021 Smart video surveillance helps to build more robust smart city environment. The varied angle cameras act as smart sensors and collect visual data from smart city environment and transmit it for further visual analysis.
Zahra A +4 more
europepmc +2 more sources
Towards the sustainable development of smart cities through mass video surveillance: A response to the COVID-19 pandemic. [PDF]
Sustain Cities Soc, 2021 Sustainable smart city initiatives around the world have recently had great impact on the lives of citizens and brought significant changes to society. More precisely, data-driven smart applications that efficiently manage sparse resources are offering a
Shorfuzzaman M, Hossain MS, Alhamid MF.
europepmc +2 more sources
Advanced Video-Based Surveillance
EURASIP Journal on Image and Video Processing, 2011 1Department of Electronics, Computer Science and Systems (DEIS), Faculty of Engineering, University of Bologna Viale Risorgimento 2, 40136 Bologna, Italy 2Department of Biophysical and Electronic Engineering, Faculty of Engineering, University of Genoa Via All’Opera Pia 11A, 16126 Genoa, Italy 3Department of Electrical and Computer Engineering ...
Regazzoni Carlo +2 more
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Parallax-Robust Surveillance Video Stitching [PDF]
Sensors, 2015 This paper presents a parallax-robust video stitching technique for timely synchronized surveillance video. An efficient two-stage video stitching procedure is proposed in this paper to build wide Field-of-View (FOV) videos for surveillance applications.
Botao He, Shaohua Yu
doaj +3 more sources