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Please use this identifier to cite or link to this item: http://hdl.handle.net/UCSP/15764
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dc.contributor.authorMenejes Palomino, Neptalí-
dc.contributor.authorCámara Chávez, Guillermo-
dc.date.accessioned2019-01-29T22:19:49Z-
dc.date.available2019-01-29T22:19:49Z-
dc.date.issued2018-
dc.identifier.isbn9783319751924es_PE
dc.identifier.issn3029743es_PE
dc.identifier.urihttp://repositorio.ucsp.edu.pe/handle/UCSP/15764-
dc.description.abstractThis paper presents an approach for the detection and localization of abnormal events in pedestrian areas. The goal is to design a model to detect abnormal events in video sequences using motion and appearance information. Motion information is represented through the use of the velocity and acceleration of optical flow and the appearance information is represented by texture and optical flow gradient. Unlike literature methods, our proposed approach provides a general solution to detect both global and local abnormal events. Furthermore, in the detection stage, we propose a classification by local regions. Experimental results on UMN and UCSD datasets confirm that the detection accuracy of our method is comparable to state-of-the-art methods. © Springer International Publishing AG, part of Springer Nature 2018.es_PE
dc.description.uriTrabajo de investigaciónes_PE
dc.language.isoenges_PE
dc.publisherSpringer Verlages_PE
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85042233597&doi=10.1007%2f978-3-319-75193-1_46&partnerID=40&md5=1a2b7d8eee873e88746bf326eb94785bes_PE
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_PE
dc.sourceRepositorio Institucional - UCSPes_PE
dc.sourceUniversidad Católica San Pabloes_PE
dc.sourceScopuses_PE
dc.subjectComputer visiones_PE
dc.subjectFeature extractiones_PE
dc.subjectInformation usees_PE
dc.subjectMotion analysises_PE
dc.subjectOptical flowses_PE
dc.subjectSecurity systemses_PE
dc.subjectAbnormal event detectionses_PE
dc.subjectDetection accuracyes_PE
dc.subjectDetection and localizationes_PE
dc.subjectMotion informationes_PE
dc.subjectSpatio temporal featureses_PE
dc.subjectState-of-the-art methodses_PE
dc.subjectVideo analysises_PE
dc.subjectVideo surveillancees_PE
dc.subjectPattern recognitiones_PE
dc.titleAbnormal event detection in video using motion and appearance informationes_PE
dc.typeinfo:eu-repo/semantics/articlees_PE
dc.identifier.doi10.1007/978-3-319-75193-1_46es_PE
Appears in Collections:Artículos de investigación

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