Background Subtraction for Time of Flight Imaging
| cic.institucionOrigen | Instituto de Investigación en Informática | es |
| cic.isFulltext | true | es |
| cic.isPeerReviewed | true | es |
| cic.lugarDesarrollo | Instituto de Investigación en Informática | es |
| cic.version | info:eu-repo/semantics/submittedVersion | es |
| dc.date.accessioned | 2018-11-13T13:55:13Z | |
| dc.date.available | 2018-11-13T13:55:13Z | |
| dc.identifier.uri | https://digital.cic.gba.gob.ar/handle/11746/8579 | |
| dc.title | Background Subtraction for Time of Flight Imaging | es |
| dc.type | Artículo | es |
| dcterms.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 |
| dcterms.creator.author | Giacomantone, Javier | es |
| dcterms.creator.author | Violini, María Lucía | es |
| dcterms.creator.author | Lorenti, Luciano | es |
| dcterms.extent | 5 p. | es |
| dcterms.identifier.url | Recurso Completo | es |
| dcterms.isPartOf.issue | vol. 17, no. 2 | es |
| dcterms.isPartOf.series | Journal of Computer Science and Technology | es |
| dcterms.issued | 2017 | |
| dcterms.language | Inglés | es |
| dcterms.license | Attribution 4.0 International (BY 4.0) | es |
| dcterms.subject | industrial TOF cameras | en |
| dcterms.subject | machine vision | en |
| dcterms.subject | pattern recognition | en |
| dcterms.subject | support vector machines | en |
| dcterms.subject.materia | Ingenierías y Tecnologías | es |
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