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dc.contributor.authorAytaç, Tayfunen_US
dc.contributor.authorBarshan, Billuren_US
dc.coverage.spatialAntalya, Turkey
dc.date.accessioned2016-02-08T11:51:11Z
dc.date.available2016-02-08T11:51:11Z
dc.date.issued2005-09en_US
dc.identifier.urihttp://hdl.handle.net/11693/27350
dc.descriptionDate of Conference: 4-8 Sept. 2005
dc.descriptionConference name: 13th European Signal Processing Conference, 2005
dc.description.abstractWe propose the use of angular intensity signals obtained with low-cost infrared (IR) sensors and present an algorithm to simultaneously extract the geometry and surface properties of commonly encountered features or targets in indoor environments. The method is verified experimentally with planes, 90° corners, and 90° edges covered with aluminum, white cloth, and Styrofoam packaging material. An average correct classification rate of 80% of both geometry and surface over all target types is achieved and targets are localized within absolute range and azimuth errors of 1.5 cm and 1.1°, respectively. Taken separately, the geometry and surface type of targets can be correctly classified with rates of 99% and 81%, respectively, which shows that the geometrical properties of the targets are more distinctive than their surface properties, and surface determination is the limiting factor. The method demonstrated shows that simple IR sensors, when coupled with appropriate signal processing, can be used to extract substantially more information than such devices are commonly employed for.en_US
dc.language.isoEnglishen_US
dc.source.title13th European Signal Processing Conference, EUSIPCO 2005en_US
dc.relation.isversionofhttps://ieeexplore.ieee.org/document/7077910
dc.subjectAngular intensityen_US
dc.subjectAzimuth erroren_US
dc.subjectClassification ratesen_US
dc.subjectGeometrical propertyen_US
dc.subjectIndoor environmenten_US
dc.subjectInfrared intensityen_US
dc.subjectInfrared sensoren_US
dc.subjectIR sensoren_US
dc.subjectStyrofoam packagingen_US
dc.subjectSurface determinationen_US
dc.subjectTarget featureen_US
dc.subjectTarget typeen_US
dc.subjectPackaging materialsen_US
dc.subjectSignal processingen_US
dc.subjectSurface propertiesen_US
dc.subjectGeometryen_US
dc.titleExtraction of target features using infrared intensity signalsen_US
dc.typeConference Paperen_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.citation.spage169en_US
dc.citation.epage172en_US
dc.publisherIEEE


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