Automatic Threat Detection in Single, Stereo (Two) and Multi View X-Ray Images

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dc.contributor.authorTuli, Abhina
dc.contributor.authorBohra, Rohi
dc.contributor.authorMoghe, Tanma
dc.contributor.authorChaturvedi, Niti
dc.contributor.authorMery, Domingo
dc.contributor.authorDhiraj
dc.date.accessioned2022-05-16T20:30:48Z
dc.date.available2022-05-16T20:30:48Z
dc.date.issued2020
dc.description.abstractAccurate X-ray screening systems are of paramount importance in the present day. Most existing systems predict only on the basis of a single image, which could lead to false positives and false negatives due to limited information present. We implemented several approaches using single, two and multiple X-Ray views to make a reliable and practical model with varying levels of success in threat object detection. These approaches include long-established methods such as Bag of Visual Words (BOVW), 3D Object Recognition, Adaptive Implicit Shape Model and Deep Neural Networks. The approaches took in dual inputs to make more informed predictions. Varying levels of success are obtained in these methods ranging from 73% using BOVW to 87% using Deep CNN. It was observed that, when two views of an object are considered, an improvement of 5% to 15% in performance took place (considering various approaches) compared to a single view.
dc.fuente.origenIEEE
dc.identifier.doi10.1109/INDICON49873.2020.9342253
dc.identifier.eisbn9781728169163
dc.identifier.eissn2325-9418
dc.identifier.isbn9781728169170
dc.identifier.issn2325-940X
dc.identifier.urihttps://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9342253
dc.identifier.urihttps://doi.org/10.1109/INDICON49873.2020.9342253
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/63988
dc.information.autorucEscuela de ingeniería ; Mery Quiroz, Domingo Arturo ; S/I ; 102382
dc.language.isoen
dc.nota.accesoContenido parcial
dc.publisherIEEE
dc.relation.ispartofIEEE India Council International Conference (INDICON) (17° : 2020 : Nueva Delhi, India)
dc.rightsacceso restringido
dc.subjectTraining
dc.subjectVisualization
dc.subjectSolid modeling
dc.subjectThree-dimensional displays
dc.subjectObject recognition
dc.subjectX-ray imaging
dc.subjectStandards
dc.titleAutomatic Threat Detection in Single, Stereo (Two) and Multi View X-Ray Imageses_ES
dc.typecomunicación de congreso
sipa.codpersvinculados102382
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