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dc.contributor.authorOrtega, Agustín-
dc.contributor.authorAndrade-Cetto, Juan-
dc.date.accessioned2012-09-07T11:16:26Z-
dc.date.available2012-09-07T11:16:26Z-
dc.date.issued2011-
dc.identifier.citationProceedings of the 5th European Conference on Mobile Robots: 115-121 (2011)es_ES
dc.identifier.urihttp://hdl.handle.net/10261/55821-
dc.descriptionPresentado al ECMR 2011 celebrado en Örebro (Sweden) del 7 al 9 de septiembre.es_ES
dc.description.abstractWe present a method to segment dynamic objects from high-resolution low-rate laser scans. Data points are tagged as static or dynamic based on the classification of pixel data from registered imagery. Per-pixel background classes are adapted online as Gaussian mixtures, and their matching 3D points are classified accordingly. Special attention is paid to the correct calibration and synchronization of the scanner with the the accessory camera. Results of the method are shown for a small indoor sequence with several people following arbitrarily different trajectories.es_ES
dc.description.sponsorshipThis work has been partially supported by the Mexican Council of Science and Technology with a PhD Scholarship to A. Ortega, by the Spanish Ministry of Science and Innovation under projects PAU (DPI2008-06022) and MIPRCV Consolider Ingenio (CSD2007-018), and by the CEEDS (FP7-ICT- 2009-5-95682) and INTELLACT (FP7-ICT2009-6-269959) projects of the EU. The authors thank M. Morta for the development of the 3D laser used for this research.es_ES
dc.language.isoenges_ES
dc.relationinfo:eu-repo/grantAgreement/EC/FP7/269959es_ES
dc.relationinfo:eu-repo/grantAgreement/EC/FP7/258749-
dc.relation.isversionofPostprint-
dc.rightsopenAccesses_ES
dc.subjectComputer visiones_ES
dc.subjectPattern classificationes_ES
dc.subjectRobotses_ES
dc.titleSegmentation of dynamic objects from laser dataes_ES
dc.typecomunicación de congresoes_ES
dc.description.peerreviewedPeer reviewedes_ES
dc.relation.publisherversionhttp://aass.oru.se/Agora/ECMR2011/proceedings.html-
dc.type.coarhttp://purl.org/coar/resource_type/c_5794es_ES
item.grantfulltextopen-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.languageiso639-1en-
item.fulltextWith Fulltext-
item.openairetypecomunicación de congreso-
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