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A Survey of Video Datasets for Human Action and Activity Recognition

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dc.contributor.authorChaquet, José M.
dc.contributor.authorCarmona, Enrique J.
dc.contributor.authorFernández Caballero, Antonio
dc.date.accessioned2024-08-21T12:13:31Z
dc.date.available2024-08-21T12:13:31Z
dc.date.issued2013-06
dc.description.abstractVision-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.en
dc.description.versionversión final
dc.identifier.doihttp://doi.org/10.1016/j.cviu.2013.01.013
dc.identifier.issn1077-3142
dc.identifier.urihttps://hdl.handle.net/20.500.14468/23278
dc.journal.issue6
dc.journal.titleComputer Vision and Image Understanding
dc.journal.volume117
dc.language.isoen
dc.publisherElsevier
dc.relation.centerFacultades y escuelas::E.T.S. de Ingeniería Informática
dc.relation.departmentInteligencia Artificial
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subject.keywordsHuman action recognition
dc.subject.keywordsHuman activity recognition
dc.subject.keywordsDatabase
dc.subject.keywordsDataset
dc.subject.keywordsReview
dc.subject.keywordsSurvey
dc.titleA Survey of Video Datasets for Human Action and Activity Recognitiones
dc.typeartículoes
dc.typejournal articleen
dspace.entity.typePublication
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