3DFCNN: real-time action recognition using 3D deep neural networks with raw depth information
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1573-7721
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
-
online resource.
- Erschienen in
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3DFCNN: real-time action recognition using 3D deep neural networks with raw depth information ; day:19 ; month:3 ; year:2022 ; pages:1-25
Multimedia tools and applications ; (19.3.2022), 1-25
- Urheber
-
Sánchez-Caballero, Adrián
López-Diz, Sergio de
Fuentes-Jimenez, David
Losada-Gutiérrez, Cristina
Marrón-Romera, Marta
Casillas-Pérez, David
Sarker, Mohammad Ibrahim
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1007/s11042-022-12091-z
- URN
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urn:nbn:de:101:1-2022061107395208188997
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:22 MESZ
Datenpartner
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Beteiligte
- Sánchez-Caballero, Adrián
- López-Diz, Sergio de
- Fuentes-Jimenez, David
- Losada-Gutiérrez, Cristina
- Marrón-Romera, Marta
- Casillas-Pérez, David
- Sarker, Mohammad Ibrahim
- SpringerLink (Online service)
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