Real time object detection and tracking using the kalman filter embedded in single board in a robot

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dc.contributor.authorGuapacha, Jovanny Bedoya [UNESP]
dc.contributor.authorMantovanni, Suely Cunha Amaro [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2018-12-11T16:52:12Z
dc.date.available2018-12-11T16:52:12Z
dc.date.issued2017-12-19
dc.description.abstractThis paper presents an algorithm implemented in real time in a laboratory robot, designed to trace and detect the color of an object in an indoor environment using the kalman filter. The image capture is done by a kinect camera installed in the robot. The algorithm is programmed into a single board computer, BeagleBone Black that uses the ROS - OpenCV system in image processing.en
dc.description.affiliationElectrical Engineering Department UNESP
dc.description.affiliationUnespElectrical Engineering Department UNESP
dc.format.extent1-6
dc.identifier.citation2017 CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2017 - Proceedings, v. 2017-January, p. 1-6.
dc.identifier.scopus2-s2.0-85042774968
dc.identifier.urihttp://hdl.handle.net/11449/170729
dc.language.isopor
dc.relation.ispartof2017 CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2017 - Proceedings
dc.rights.accessRightsAcesso aberto
dc.sourceScopus
dc.subjectKalman filter
dc.subjectKinect
dc.subjectSingle board computer
dc.subjectTracking
dc.subjectVisual computation
dc.titleReal time object detection and tracking using the kalman filter embedded in single board in a roboten
dc.typeTrabalho apresentado em evento

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