A Deep-Learning Based Automated COVID-19 Physical Distance Measurement System Using Surveillance Video (Englisch)
- Neue Suche nach: Junayed, Masum Shah
- Weitere Informationen zu Junayed, Masum Shah:
- https://orcid.org/http://orcid.org/0000-0003-3592-4601
- Neue Suche nach: Islam, Md Baharul
- Weitere Informationen zu Islam, Md Baharul:
- https://orcid.org/http://orcid.org/0000-0002-9928-5776
- Neue Suche nach: Santosh, KC
- Weitere Informationen zu Santosh, KC:
- https://orcid.org/https://orcid.org/0000-0003-4176-0236
- Neue Suche nach: Hegadi, Ravindra
- Neue Suche nach: Pal, Umapada
- Weitere Informationen zu Pal, Umapada:
- https://orcid.org/https://orcid.org/0000-0002-5426-2618
- Neue Suche nach: Junayed, Masum Shah
- Weitere Informationen zu Junayed, Masum Shah:
- https://orcid.org/http://orcid.org/0000-0003-3592-4601
- Neue Suche nach: Islam, Md Baharul
- Weitere Informationen zu Islam, Md Baharul:
- https://orcid.org/http://orcid.org/0000-0002-9928-5776
In:
Recent Trends in Image Processing and Pattern Recognition
: 4th International Conference, RTIP2R 2021, Msida, Malta, December 8-10, 2021, Revised Selected Papers
;
Kapitel: 19
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210-222
;
2022
- Aufsatz/Kapitel (Buch) / Elektronische Ressource
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Titel:A Deep-Learning Based Automated COVID-19 Physical Distance Measurement System Using Surveillance Video
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Weitere Titelangaben:Communic.Comp.Inf.Science
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Beteiligte:Santosh, KC ( Herausgeber:in ) / Hegadi, Ravindra ( Herausgeber:in ) / Pal, Umapada ( Herausgeber:in ) / Junayed, Masum Shah ( Autor:in ) / Islam, Md Baharul ( Autor:in )
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Kongress:International Conference on Recent Trends in Image Processing and Pattern Recognition ; 2021 ; Msida, Malta
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Erschienen in:Recent Trends in Image Processing and Pattern Recognition : 4th International Conference, RTIP2R 2021, Msida, Malta, December 8-10, 2021, Revised Selected Papers ; Kapitel: 19 ; 210-222Communications in Computer and Information Science ; 1576 ; 210-222
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Verlag:
- Neue Suche nach: Springer International Publishing
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Erscheinungsort:Cham
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Erscheinungsdatum:22.05.2022
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Format / Umfang:13 pages
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ISBN:
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ISSN:
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DOI:
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Medientyp:Aufsatz/Kapitel (Buch)
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Format:Elektronische Ressource
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Sprache:Englisch
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Schlagwörter:
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Datenquelle:
Inhaltsverzeichnis E-Book
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