Understanding safety based on urban perception

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dc.contributor.authorMoreno-Vera, F.
dc.date.accessioned2022-03-10T19:50:12Z
dc.date.available2022-03-10T19:50:12Z
dc.date.issued2021
dc.description.abstract"Currently, one important field on machine learning is Urban Perception Computing is to model the way in which humans can interact and understand the environment that surrounds them. This process is performed using convolutional models to learn and identify some insights which define the concept of perception of a place (e.g. a street image). One approach of this field is urban perception of street images, we will focus on this approach to study the safety perception of a city and try to explain why and how the perception can be predicted by a mathematical model. As result, we present an analysis about the influence and impact of the visual components on the safety criteria and also an explanation about why a certain decision on the perception of the safety of the streets, such as safe or unsafe. © 2021, Springer Nature Switzerland AG" es_PE
dc.description.uriTrabajo académicoes_PE
dc.identifier.doi10.1007/978-3-030-84529-2_5es_PE
dc.identifier.issn03029743
dc.identifier.urihttps://hdl.handle.net/20.500.12590/17047
dc.language.isoenges_PE
dc.publisherSpringer Science and Business Media Deutschland GmbHes_PE
dc.publisher.countryPEes_PE
dc.relationinfo:eu-repo/semantics/articlees_PE
dc.relation.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85115245165&origin=resultslist&sort=plf-f&src=s&nlo=&nlr=&nls=&sid=bf6bae9a56b2331387d9f5550bd7ed65&sot=aff&sdt=cl&cluster=scopubyr%2c%222021%22%2ct&sl=48&s=AF-ID%28%22Universidad+Cat%c3%b3lica+San+Pablo%22+60105300%29&relpos=55&citeCnt=0&searchTerm=&featureToggles=FEATURE_NEW_DOC_DETAILS_EXPORT:1es_PE
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_PE
dc.sourceUniversidad Católica San Pabloes_PE
dc.sourceRepositorio Institucional - UCSPes_PE
dc.subjectCityscapees_PE
dc.subjectComputer visiones_PE
dc.subjectDeep learninges_PE
dc.subjectGrad-CAMes_PE
dc.subjectInterpretabilityes_PE
dc.subjectLIMEes_PE
dc.subjectPerception computinges_PE
dc.subjectPerception learninges_PE
dc.subjectStreet Viewes_PE
dc.subjectStreet-level imageryes_PE
dc.subjectUrban computinges_PE
dc.subjectUrban perceptiones_PE
dc.subjectVisual processinges_PE
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#1.02.01es_PE
dc.titleUnderstanding safety based on urban perceptiones_PE
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/publishedVersiones_PE
renati.typehttps://purl.org/pe-repo/renati/type#trabajoAcademico
thesis.degree.disciplineCiencia de la Computaciónes_PE
thesis.degree.grantorUniversidad Católica San Pablo. Departamento de Ciencia de la Computaciónes_PE
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