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dc.contributor.authorBenito-Picazo, Jesús
dc.contributor.authorLópez-Rubio, Ezequiel 
dc.contributor.authorOrtiz-de-Lazcano-Lobato, Juan Miguel
dc.contributor.authorDomínguez, Enrique
dc.contributor.authorPalomo, Esteban J.
dc.date.accessioned2017-07-24T06:59:14Z
dc.date.available2017-07-24T06:59:14Z
dc.date.created2017
dc.date.issued2017-07-24
dc.identifier.urihttp://hdl.handle.net/10630/14328
dc.description.abstractMotion detection is the first essential process in the extraction of information regarding moving objects. The approaches based on background difference are the most used with fixed cameras to perform motion detection, because of the high quality of the achieved segmentation. However, real time requirements and high costs prevent most of the algorithms proposed in literature to exploit the background difference with panning cameras in real world applications. This paper presents a new algorithm to detect moving objects within a scene acquired by panning cameras. The algorithm for motion detection is implemented on a Raspberry Pi microcontroller, which enables the design and implementation of a low-cost monitoring system.es_ES
dc.description.sponsorshipUniversidad de Málaga. Campus de Excelencia Internacional Andalucía Tech.es_ES
dc.language.isoenges_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.subjectTeledetecciónes_ES
dc.subject.otherforeground detectiones_ES
dc.subject.otherbackground modelinges_ES
dc.subject.otherprobabilistic self-organizing mapses_ES
dc.subject.otherbackground featureses_ES
dc.titleMotion Detection by Microcontroller for Panning Camerases_ES
dc.typeinfo:eu-repo/semantics/preprintes_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.centroE.T.S.I. Informáticaes_ES
dc.relation.eventtitleInternational Work-Conference on the Interplay between Natural and Artificial Computation 2017es_ES
dc.relation.eventplaceLa Coruñaes_ES
dc.relation.eventdateJunio 2017es_ES
dc.identifier.orcidhttp://orcid.org/0000-0001-8231-5687es_ES
dc.cclicenseby-nc-ndes_ES


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