Towards the sustainable development of smart cities through mass video surveillance: A response to the COVID-19 pandemic
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 …
lives of citizens and brought significant changes to society. More precisely, data-driven smart …
A survey of video surveillance systems in smart city
Y Myagmar-Ochir, W Kim - Electronics, 2023 - mdpi.com
Smart cities are being developed worldwide with the use of technology to improve the
quality of life of citizens and enhance their safety. Video surveillance is a key component of …
quality of life of citizens and enhance their safety. Video surveillance is a key component of …
Monitoring COVID-19 social distancing with person detection and tracking via fine-tuned YOLO v3 and Deepsort techniques
The rampant coronavirus disease 2019 (COVID-19) has brought global crisis with its deadly
spread to more than 180 countries, and about 3,519,901 confirmed cases along with …
spread to more than 180 countries, and about 3,519,901 confirmed cases along with …
Deepsocial: Social distancing monitoring and infection risk assessment in covid-19 pandemic
Social distancing is a recommended solution by the World Health Organisation (WHO) to
minimise the spread of COVID-19 in public places. The majority of governments and …
minimise the spread of COVID-19 in public places. The majority of governments and …
A vision-based social distancing and critical density detection system for COVID-19
Social distancing (SD) is an effective measure to prevent the spread of the infectious
Coronavirus Disease 2019 (COVID-19). However, a lack of spatial awareness may cause …
Coronavirus Disease 2019 (COVID-19). However, a lack of spatial awareness may cause …
Implementing a real-time, AI-based, people detection and social distancing measuring system for Covid-19
COVID-19 is a disease caused by a severe respiratory syndrome coronavirus. It was
identified in December 2019 in Wuhan, China. It has resulted in an ongoing pandemic that …
identified in December 2019 in Wuhan, China. It has resulted in an ongoing pandemic that …
Social distance monitoring framework using deep learning architecture to control infection transmission of COVID-19 pandemic
The recent outbreak of the COVID-19 affected millions of people worldwide, yet the rate of
infected people is increasing. In order to cope with the global pandemic situation and …
infected people is increasing. In order to cope with the global pandemic situation and …
[PDF][PDF] Deep learning based safe social distancing and face mask detection in public areas for covid-19 safety guidelines adherence
S Yadav - International Journal for Research in Applied Science …, 2020 - researchgate.net
According to data obtained by the World Health Organization, the global pandemic of COVID-
19 has severely impacted the world and has now infected more than eight million people …
19 has severely impacted the world and has now infected more than eight million people …
A deep learning-based social distance monitoring framework for COVID-19
The ongoing COVID-19 corona virus outbreak has caused a global disaster with its deadly
spreading. Due to the absence of effective remedial agents and the shortage of …
spreading. Due to the absence of effective remedial agents and the shortage of …
Measuring human and economic activity from satellite imagery to support city-scale decision-making during covid-19 pandemic
R Minetto, MP Segundo, G Rotich… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The COVID-19 outbreak forced governments worldwide to impose lockdowns and
quarantines to prevent virus transmission. As a consequence, there are disruptions in …
quarantines to prevent virus transmission. As a consequence, there are disruptions in …