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A block-based model for monitoring of human activity

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dc.contributor.authorFolgado Zuñiga, Encarnación
dc.contributor.authorCarmona, Enrique J.
dc.contributor.authorRincón Zamorano, Mariano
dc.contributor.authorBachiller Mayoral, Margarita
dc.date.accessioned2024-06-11T15:15:26Z
dc.date.available2024-06-11T15:15:26Z
dc.date.issued2011-03
dc.description.abstractThe study of human activity is applicable to a large number of science and technology fields, such as surveillance, biomechanics or sports applications. This article presents BB6-HM, a block-based human model for real-time monitoring of a large number of visual events and states related to human activity analysis, which can be used as components of a library to describe more complex activities in such important areas as surveillance, for example, luggage at airports, clients’ behaviour in banks and patients in hospitals. BB6-HM is inspired by the proportionality rules commonly used in Visual Arts, i.e., for dividing the human silhouette into six rectangles of the same height. The major advantage of this proposal is that analysis of the human can be easily broken down into regions, so that we can obtain information of activities. The computational load is very low, so it is possible to define a very fast implementation. Finally, this model has been applied to build classifiers for the detection of primitive events and visual attributes using heuristic rules and machine learning techniques.en
dc.description.versionversión final
dc.identifier.doihttp://dx.doi.org/10.1016/j.neucom.2010.05.023
dc.identifier.issn1872-8286
dc.identifier.urihttps://hdl.handle.net/20.500.14468/22406
dc.journal.issue8
dc.journal.titleNeurocomputing
dc.journal.volume74
dc.language.isoen
dc.publisherElsevier
dc.relation.centerE.T.S. de Ingeniería Informática
dc.relation.departmentInteligencia Artificial
dc.rightsAtribución-NoComercial-SinDerivadas 4.0 Internacional
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0
dc.subject.keywordsHuman models
dc.subject.keywordsHuman activity recognition
dc.subject.keywordsvideo-based surveillance
dc.subject.keywordsVideo analysis
dc.subject.keywordsprimitive visual events
dc.titleA block-based model for monitoring of human activityes
dc.typeartículoes
dc.typejournal articleen
dspace.entity.typePublication
relation.isAuthorOfPublication06a389cc-435e-4713-a8d7-8350f08ea1a8
relation.isAuthorOfPublication124f1ca1-9e71-43bb-b992-4a9c3997dc5d
relation.isAuthorOfPublication.latestForDiscovery06a389cc-435e-4713-a8d7-8350f08ea1a8
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