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

Detalhes bibliográficos
Autor(a) principal: Guapacha, Jovanny Bedoya [UNESP]
Data de Publicação: 2017
Outros Autores: Mantovanni, Suely Cunha Amaro [UNESP]
Tipo de documento: Artigo de conferência
Idioma: por
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://hdl.handle.net/11449/170729
Resumo: This 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.
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spelling Real time object detection and tracking using the kalman filter embedded in single board in a robotKalman filterKinectSingle board computerTrackingVisual computationThis 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.Electrical Engineering Department UNESPElectrical Engineering Department UNESPUniversidade Estadual Paulista (Unesp)Guapacha, Jovanny Bedoya [UNESP]Mantovanni, Suely Cunha Amaro [UNESP]2018-12-11T16:52:12Z2018-12-11T16:52:12Z2017-12-19info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject1-62017 CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2017 - Proceedings, v. 2017-January, p. 1-6.http://hdl.handle.net/11449/1707292-s2.0-85042774968Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPpor2017 CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2017 - Proceedingsinfo:eu-repo/semantics/openAccess2021-10-23T21:46:58Zoai:repositorio.unesp.br:11449/170729Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T21:45:15.425021Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Real time object detection and tracking using the kalman filter embedded in single board in a robot
title Real time object detection and tracking using the kalman filter embedded in single board in a robot
spellingShingle Real time object detection and tracking using the kalman filter embedded in single board in a robot
Guapacha, Jovanny Bedoya [UNESP]
Kalman filter
Kinect
Single board computer
Tracking
Visual computation
title_short Real time object detection and tracking using the kalman filter embedded in single board in a robot
title_full Real time object detection and tracking using the kalman filter embedded in single board in a robot
title_fullStr Real time object detection and tracking using the kalman filter embedded in single board in a robot
title_full_unstemmed Real time object detection and tracking using the kalman filter embedded in single board in a robot
title_sort Real time object detection and tracking using the kalman filter embedded in single board in a robot
author Guapacha, Jovanny Bedoya [UNESP]
author_facet Guapacha, Jovanny Bedoya [UNESP]
Mantovanni, Suely Cunha Amaro [UNESP]
author_role author
author2 Mantovanni, Suely Cunha Amaro [UNESP]
author2_role author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Guapacha, Jovanny Bedoya [UNESP]
Mantovanni, Suely Cunha Amaro [UNESP]
dc.subject.por.fl_str_mv Kalman filter
Kinect
Single board computer
Tracking
Visual computation
topic Kalman filter
Kinect
Single board computer
Tracking
Visual computation
description This 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.
publishDate 2017
dc.date.none.fl_str_mv 2017-12-19
2018-12-11T16:52:12Z
2018-12-11T16:52:12Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv 2017 CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2017 - Proceedings, v. 2017-January, p. 1-6.
http://hdl.handle.net/11449/170729
2-s2.0-85042774968
identifier_str_mv 2017 CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2017 - Proceedings, v. 2017-January, p. 1-6.
2-s2.0-85042774968
url http://hdl.handle.net/11449/170729
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv 2017 CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2017 - Proceedings
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 1-6
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
_version_ 1808129354551525376

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