A discussion on the validation tests employed to compare human action recognition methods using the MSR Action3D dataset
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Título: | A discussion on the validation tests employed to compare human action recognition methods using the MSR Action3D dataset |
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Autor/es: | Padilla López, José Ramón | Chaaraoui, Alexandros Andre | Flórez-Revuelta, Francisco |
Grupo/s de investigación o GITE: | Informática Industrial y Redes de Computadores | Domótica y Ambientes Inteligentes |
Centro, Departamento o Servicio: | Universidad de Alicante. Departamento de Tecnología Informática y Computación |
Palabras clave: | Human action recognition | RGB-D Devices | MSR Action3D | Validation | Kinect | Depth sensors |
Área/s de conocimiento: | Arquitectura y Tecnología de Computadores |
Fecha de creación: | jun-2014 |
Fecha de publicación: | 29-jul-2014 |
Resumen: | This paper aims to determine which is the best human action recognition method based on features extracted from RGB-D devices, such as the Microsoft Kinect. A review of all the papers that make reference to MSR Action3D, the most used dataset that includes depth information acquired from a RGB-D device, has been performed. We found that the validation method used by each work differs from the others. So, a direct comparison among works cannot be made. However, almost all the works present their results comparing them without taking into account this issue. Therefore, we present different rankings according to the methodology used for the validation in order to clarify the existing confusion. |
URI: | http://arxiv.org/abs/1407.7390 | http://hdl.handle.net/10045/39889 |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/workingPaper |
Derechos: | Licencia Creative Commons Reconocimiento-NoComercial-SinObraDerivada 4.0 |
Revisión científica: | no |
Aparece en las colecciones: | INV - DAI - Informes Técnicos INV - AmI4AHA - Informes Técnicos |
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Archivo | Descripción | Tamaño | Formato | |
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discussion-validation-tests-20140728.pdf | 205,96 kB | Adobe PDF | Abrir Vista previa | |
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