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: Amaro Mantovanni, Suely Cunha [UNESP], IEEE
Tipo de documento: Artigo de conferência
Idioma: por
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://hdl.handle.net/11449/163896
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 robotVisual ComputationSingle Board ComputerKalman FilterKinecttrackingThis 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.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)UNESP, Elect Engn Dept, Ilha Solteira, SP, BrazilUNESP, Elect Engn Dept, Ilha Solteira, SP, BrazilCAPES: 33004099080P0IeeeUniversidade Estadual Paulista (Unesp)Guapacha, Jovanny Bedoya [UNESP]Amaro Mantovanni, Suely Cunha [UNESP]IEEE2018-11-26T17:48:20Z2018-11-26T17:48:20Z2017-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject62017 Chilean Conference On Electrical, Electronics Engineering, Information And Communication Technologies (chilecon). New York: Ieee, 6 p., 2017.http://hdl.handle.net/11449/163896WOS:000425925000164Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPpor2017 Chilean Conference On Electrical, Electronics Engineering, Information And Communication Technologies (chilecon)info:eu-repo/semantics/openAccess2024-07-04T19:11:33Zoai:repositorio.unesp.br:11449/163896Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T17:17:05.123588Repositório 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]
Visual Computation
Single Board Computer
Kalman Filter
Kinect
tracking
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]
Amaro Mantovanni, Suely Cunha [UNESP]
IEEE
author_role author
author2 Amaro Mantovanni, Suely Cunha [UNESP]
IEEE
author2_role author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Guapacha, Jovanny Bedoya [UNESP]
Amaro Mantovanni, Suely Cunha [UNESP]
IEEE
dc.subject.por.fl_str_mv Visual Computation
Single Board Computer
Kalman Filter
Kinect
tracking
topic Visual Computation
Single Board Computer
Kalman Filter
Kinect
tracking
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 2017-01-01
2018-11-26T17:48:20Z
2018-11-26T17:48:20Z
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). New York: Ieee, 6 p., 2017.
http://hdl.handle.net/11449/163896
WOS:000425925000164
identifier_str_mv 2017 Chilean Conference On Electrical, Electronics Engineering, Information And Communication Technologies (chilecon). New York: Ieee, 6 p., 2017.
WOS:000425925000164
url http://hdl.handle.net/11449/163896
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)
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 6
dc.publisher.none.fl_str_mv Ieee
publisher.none.fl_str_mv Ieee
dc.source.none.fl_str_mv Web of Science
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
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