Midgar: Detection of people through computer vision in the Internet of Things scenarios to improve the security in Smart Cities, Smart Towns, and Smart Homes

dc.contributor.author	González García, Cristian
dc.contributor.author	Meana Llorián, Daniel
dc.contributor.author	Pelayo García-Bustelo, Begoña Cristina
dc.contributor.author	Cueva Lovelle, Juan Manuel
dc.contributor.author	García Fernández, Néstor
dc.date.accessioned	2017-05-02T07:37:33Z
dc.date.available	2017-05-02T07:37:33Z
dc.date.issued	2016
dc.identifier.citation	Future Generation Computer Systems (2016); doi:10.1016/j.future.2016.12.033
dc.identifier.issn	0167-739X
dc.identifier.uri	http://hdl.handle.net/10651/42283
dc.language.iso	eng
dc.relation.ispartof	Future Generation Computer Systems
dc.rights	©,
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85009807675&doi=10.1016%2fj.future.2016.12.033&partnerID=40&md5=75acd588f7a58301fbbd00868d7a5b1a
dc.title	Midgar: Detection of people through computer vision in the Internet of Things scenarios to improve the security in Smart Cities, Smart Towns, and Smart Homes
dc.type	journal article
dc.identifier.doi	10.1016/j.future.2016.12.033
dc.relation.publisherversion	http://dx.doi.org/10.1016/j.future.2016.12.033

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