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dc.date.accessioned 2017-10-13T15:06:13Z
dc.date.available 2017-10-13T15:06:13Z
dc.date.issued 2017-10
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/62941
dc.description.abstract A time of flight camera provides two types of images simultaneously, depth and intensity. In this paper a computational method for background subtraction, combining both images or fast sequences of images, is proposed. The background model is based on unbalanced or semi-supervised classifiers, in particular support vector machines. A brief review of one class support vector machines is first given. A method that combines the range and intensity data in two operational modes is then provided. Finally, experimental results are presented and discussed. en
dc.format.extent 135-139 es
dc.language en es
dc.subject industrial TOF cameras en
dc.subject machine vision en
dc.subject pattern recognition en
dc.subject support vector machines en
dc.title Background Subtraction for Time of Flight Imaging en
dc.type Articulo es
sedici.identifier.uri http://journal.info.unlp.edu.ar/wp-content/uploads/2017/10/JCST-45-Paper-6.pdf es
sedici.identifier.issn 1666-6038 es
sedici.creator.person Giacomantone, Javier es
sedici.creator.person Violini, María Lucía es
sedici.creator.person Lorenti, Luciano es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Facultad de Informática es
sedici.subtype Articulo es
sedici.rights.license Creative Commons Attribution 4.0 International (CC BY 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by/4.0/
sedici.description.peerReview peer-review es
sedici.relation.journalTitle Journal of Computer Science & Technology es
sedici.relation.journalVolumeAndIssue vol. 17, no. 2 es


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Creative Commons Attribution 4.0 International (CC BY 4.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution 4.0 International (CC BY 4.0)