CNN-powered body and face detection for intelligent people counting in Covid-19 restricted places
26th International Conference on Information Society and University Studies, IVUS 2021
; 2915:132-140, 2021.
Article
in English
| Scopus | ID: covidwho-1349136
ABSTRACT
In the reality of 2021's Covid-19 pandemic there are a lot of government's restrictions made to reduce the virus spread speed in the society. One of the examples of such restrictions are the people per square meter limit in public places and shopping malls. Because manual counting of each person in such places is not possible due to limited time and money resources, this limit restriction is widely abused making the pandemic outbreak more dangerous. To face this problem author has presented a novel face and body detection model for the CCTV (Closed Circuit Television) monitoring systems, that automatically counts the amount of people in the monitored area by the use of Deep Learning. © 2021 Copyright for this paper by its authors.
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Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
26th International Conference on Information Society and University Studies, IVUS 2021
Year:
2021
Document Type:
Article
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