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Please use this identifier to cite or link to this item: http://hdl.handle.net/UCSP/15839
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dc.contributor.authorTejada Begazo, Maria-
dc.contributor.authorCervantes Jilaja, Claudia-
dc.contributor.authorPatiño Escarcina, Raquel Esperanza-
dc.contributor.authorBarrios Aranibar, Dennis-
dc.date.accessioned2019-01-29T22:19:53Z-
dc.date.available2019-01-29T22:19:53Z-
dc.date.issued2016-
dc.identifier.isbn9781467371292es_PE
dc.identifier.urihttp://repositorio.ucsp.edu.pe/handle/UCSP/15839-
dc.description.abstractThe HOG method is applied in the detection of human bodies, specially when they are in a vertical position and in many backgrounds. HOG method was evaluated before in different applications such as pedestrian detection, video surveillance, search and rescue. However, when human bodies are in other positions, most of the time, body recognition algorithms present fails. The main idea presented in this research, is the evaluation of different morphological operators applied to improve the HOG method. These experiments show that the results of combining HOG method with morphological operators are better than just using the HOG method. In this research the HOG method combined with morphological operator close (86, 62%) and Erode (84, 35%) had better results than HOG without this pre-processing (77, 32%). © 2015 IEEE.es_PE
dc.description.uriTrabajo de investigaciónes_PE
dc.language.isoenges_PE
dc.publisherInstitute of Electrical and Electronics Engineers Inc.es_PE
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84964355780&doi=10.1109%2fLARS-SBR.2015.57&partnerID=40&md5=9e40e0a8763d0796c46577f9166d7a45es_PE
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_PE
dc.sourceRepositorio Institucional - UCSPes_PE
dc.sourceUniversidad Católica San Pabloes_PE
dc.sourceScopuses_PE
dc.subjectSecurity systemses_PE
dc.subjectHuman bodieses_PE
dc.subjectHuman body detectionses_PE
dc.subjectMethod improvementes_PE
dc.subjectMorphological operatores_PE
dc.subjectPedestrian detectiones_PE
dc.subjectRecognition algorithmes_PE
dc.subjectVertical positionses_PE
dc.subjectVideo surveillancees_PE
dc.subjectRoboticses_PE
dc.titleMorphological Operators Applied to Human Body Detection HOG Method Improvementes_PE
dc.typeinfo:eu-repo/semantics/conferenceObjectes_PE
dc.identifier.doi10.1109/LARS-SBR.2015.57es_PE
Appears in Collections:Artículos de investigación

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