A Survey of Video Datasets for Human Action and Activity Recognition

Chaquet, José M., Carmona, Enrique J. y Fernández Caballero, Antonio . (2013) A Survey of Video Datasets for Human Action and Activity Recognition. Computer Vision and Image Understanding, 117(6), 633-659 (2013)

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Título A Survey of Video Datasets for Human Action and Activity Recognition
Autor(es) Chaquet, José M.
Carmona, Enrique J.
Fernández Caballero, Antonio
Materia(s) Informática
Ingeniería Informática
Abstract Vision-based human action and activity recognition has an increasing importance among the computer vision community with applications to visual surveillance, video retrieval and human–computer interaction. In recent years, more and more datasets dedicated to human action and activity recognition have been created. The use of these datasets allows us to compare different recognition systems with the same input data. The survey introduced in this paper tries to cover the lack of a complete description of the most important public datasets for video-based human activity and action recognition and to guide researchers in the election of the most suitable dataset for benchmarking their algorithms.
Palabras clave Human action recognition
Human activity recognition
Database
Dataset
Review
Survey
Editor(es) Elsevier
Fecha 2013-06
Formato application/pdf
Identificador bibliuned:95-Ejcarmona-0009
http://e-spacio.uned.es/fez/view/bibliuned:95-Ejcarmona-0009
DOI - identifier http://doi.org/10.1016/j.cviu.2013.01.013
ISSN - identifier 1077-3142
Nombre de la revista Computer Vision and Image Understanding
Número de Volumen 117
Número de Issue 6
Página inicial 633
Página final 659
Publicado en la Revista Computer Vision and Image Understanding, 117(6), 633-659 (2013)
Idioma eng
Versión de la publicación acceptedVersion
Tipo de recurso Article
Derechos de acceso y licencia http://creativecommons.org/licenses/by-nc-nd/4.0
info:eu-repo/semantics/openAccess
Tipo de acceso Acceso abierto
Notas adicionales This is an Accepted Manuscript of an article published by Elsevier in "Computer Vision and Image Understanding, 117(6), 633-659 (2013)", available at: http://doi.org/10.1016/j.cviu.2013.01.013
Notas adicionales Este es el manuscrito aceptado del artículo publicado por Elsevier en "Computer Vision and Image Understanding, 117(6), 633-659 (2013)", disponible en: http://doi.org/10.1016/j.cviu.2013.01.013

 
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