Three-Dimensional Object Motion and Velocity Estimation Using a Single Computational RGB-D Camera
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Seungwon | - |
dc.contributor.author | Jeong, Kyungwon | - |
dc.contributor.author | Park, Jinho | - |
dc.contributor.author | Paik, Joonki | - |
dc.date.available | 2019-03-08T18:02:01Z | - |
dc.date.issued | 2015-01 | - |
dc.identifier.issn | 1424-8220 | - |
dc.identifier.issn | 1424-3210 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/10051 | - |
dc.description.abstract | In this paper, a three-dimensional (3D) object moving direction and velocity estimation method is presented using a dual off-axis color-filtered aperture (DCA)-based computational camera. Conventional object tracking methods provided only two-dimensional (2D) states of an object in the image for the target representation. The proposed method estimates depth information in the object region from a single DCA camera that transforms 2D spatial information into 3D model parameters of the object. We also present a calibration method of the DCA camera to estimate the entire set of camera parameters for a practical implementation. Experimental results show that the proposed DCA-based color and depth (RGB-D) camera can calculate the 3D object moving direction and velocity of a randomly moving object in a single-camera framework. | - |
dc.format.extent | 13 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | MDPI AG | - |
dc.title | Three-Dimensional Object Motion and Velocity Estimation Using a Single Computational RGB-D Camera | - |
dc.type | Article | - |
dc.identifier.doi | 10.3390/s150100995 | - |
dc.identifier.bibliographicCitation | SENSORS, v.15, no.1, pp 995 - 1007 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.wosid | 000348309400057 | - |
dc.identifier.scopusid | 2-s2.0-84920901626 | - |
dc.citation.endPage | 1007 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 995 | - |
dc.citation.title | SENSORS | - |
dc.citation.volume | 15 | - |
dc.type.docType | Article | - |
dc.publisher.location | 스위스 | - |
dc.subject.keywordAuthor | object tracking | - |
dc.subject.keywordAuthor | depth estimation | - |
dc.subject.keywordAuthor | computational camera | - |
dc.subject.keywordAuthor | image registration | - |
dc.subject.keywordAuthor | 3D image acquisition | - |
dc.subject.keywordPlus | APERTURE CAMERA | - |
dc.subject.keywordPlus | COLOR | - |
dc.subject.keywordPlus | TRACKING | - |
dc.subject.keywordPlus | FILTER | - |
dc.relation.journalResearchArea | Chemistry | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Instruments & Instrumentation | - |
dc.relation.journalWebOfScienceCategory | Chemistry, Analytical | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalWebOfScienceCategory | Instruments & Instrumentation | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
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