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Kinematic parameter estimation using close range photogrammetry for sport applications

dc.contributor.editorGarcia-Arteaga J.D.
dc.contributor.editorBrieva J.
dc.contributor.editorLepore N.
dc.contributor.editorRomero E.
dc.creatorMagre Colorado L.A.
dc.creatorMartínez Santos J.C.
dc.date.accessioned2020-03-26T16:32:47Z
dc.date.available2020-03-26T16:32:47Z
dc.date.issued2015
dc.identifier.citationProceedings of SPIE - The International Society for Optical Engineering; Vol. 9681
dc.identifier.isbn9781628419160
dc.identifier.issn0277786X
dc.identifier.urihttps://hdl.handle.net/20.500.12585/9023
dc.description.abstractIn this article, we show the development of a low-cost hardware/software system based on close range photogrammetry to track the movement of a person performing weightlifting. The goal is to reduce the costs to the trainers and athletes dedicated to this sport when it comes to analyze the performance of the sportsman and avoid injuries or accidents. We used a web-cam as the data acquisition hardware and develop the software stack in Processing using the OpenCV library. Our algorithm extracts size, position, velocity, and acceleration measurements of the bar along the course of the exercise. We present detailed characteristics of the system with their results in a controlled setting. The current work improves the detection and tracking capabilities from a previous version of this system by using HSV color model instead of RGB. Preliminary results show that the system is able to profile the movement of the bar as well as determine the size, position, velocity, and acceleration values of a marker/target in scene. The average error finding the size of object at four meters of distance is less than 4%, and the error of the acceleration value is 1.01% in average. © 2015 SPIE.eng
dc.description.sponsorshipPrometeo - Secretaria de Educacion Superior, Ciencia, Tecnologia e Innovacion;Red Nacional de Investigacion y Educacion del Ecuador;Universidad Nacional de Colombia Sede Bogota, CIM at lab
dc.format.mediumRecurso electrónico
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherSPIE
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourcehttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84958225751&doi=10.1117%2f12.2208354&partnerID=40&md5=7e450cde6b7e74b3af8af68ff00d72af
dc.sourceScopus2-s2.0-84958225751
dc.titleKinematic parameter estimation using close range photogrammetry for sport applications
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datacite.rightshttp://purl.org/coar/access_right/c_16ec
oaire.resourceTypehttp://purl.org/coar/resource_type/c_c94f
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
dc.source.event11th International Symposium on Medical Information Processing and Analysis, SIPAIM 2015
dc.type.driverinfo:eu-repo/semantics/conferenceObject
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersion
dc.identifier.doi10.1117/12.2208354
dc.subject.keywordsClose range photogrammetry
dc.subject.keywordsColor detection
dc.subject.keywordsObject tracking
dc.subject.keywordsOpenCV
dc.subject.keywordsProcessing
dc.subject.keywordsBioinformatics
dc.subject.keywordsData acquisition
dc.subject.keywordsHardware
dc.subject.keywordsProcessing
dc.subject.keywordsSports
dc.subject.keywordsClose range photogrammetry
dc.subject.keywordsColor detection
dc.subject.keywordsData acquisition hardware
dc.subject.keywordsDetection and tracking
dc.subject.keywordsHSV color models
dc.subject.keywordsLow cost hardware
dc.subject.keywordsObject tracking
dc.subject.keywordsOpenCV
dc.subject.keywordsPhotogrammetry
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccess
dc.rights.ccAtribución-NoComercial 4.0 Internacional
dc.identifier.instnameUniversidad Tecnológica de Bolívar
dc.identifier.reponameRepositorio UTB
dc.relation.conferencedate17 November 2015 through 19 November 2015
dc.type.spaConferencia
dc.identifier.orcid56682785300
dc.identifier.orcid26325154200


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