A Semi-Automated Approach for Recognizing Moving Targets Using a Global Vision System

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dc.contributor.authorRipas Mamani, Roger
dc.contributor.authorCervantes Jilaja, Claudia
dc.contributor.authorRosas Cuevas, Yessica
dc.contributor.authorPatiño Escarcina, Raquel Esperanza
dc.contributor.authorBarrios Aranibar, Dennis
dc.date.accessioned2019-01-29T22:19:52Z
dc.date.available2019-01-29T22:19:52Z
dc.date.issued2016
dc.description.abstractGlobal vision system works with processes of sorting, recognition and identification through some external characteristics as: color, shape and size depending of specific targets. In this paper we propose a semi-automated approach to recognize the targets in moving, where first is performed the image calibration with respect to the lighting and then proceeds to recognize a variety of colors and sizes, through several channels of different color spaces in the processing of video sequences to recognize moving targets, using the proposed algorithm called Color Segmentation (Algorithm 1) to identify a variety of light and dark colors. After semi-automated process is performed the sorting or recognizing of the moving target, where is obtained the position (x, y) of central point and the size of the area (pixels) of the segmentation region. Tests were conducted in: the location of robots in a soccer robot environment (with 94.36% of accuracy) and chestnuts selection process (with 91.80% of accuracy), if the image needs to recognize more than five detections then it proceeds to add parallelism, i.e. add a thread for each segmented color, thus improving processing time. © 2016 IEEE.es_PE
dc.description.uriTrabajo de investigaciónes_PE
dc.identifier.doihttps://doi.org/10.1109/LARS-SBR.2016.10es_PE
dc.identifier.isbnurn:isbn:9781509036561es_PE
dc.identifier.urihttps://hdl.handle.net/20.500.12590/15824
dc.language.isoenges_PE
dc.publisherInstitute of Electrical and Electronics Engineers Inc.es_PE
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85010443455&doi=10.1109%2fLARS-SBR.2016.10&partnerID=40&md5=f2e438eb2202dc7018f9d7fe0d36b623es_PE
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_PE
dc.sourceRepositorio Institucional - UCSPes_PE
dc.sourceUniversidad Católica San Pabloes_PE
dc.sourceScopuses_PE
dc.subjectColores_PE
dc.subjectComputer visiones_PE
dc.subjectImage processinges_PE
dc.subjectImage segmentationes_PE
dc.subjectInteractive computer systemses_PE
dc.subjectReal time systemses_PE
dc.subjectRobot applicationses_PE
dc.subjectRoboticses_PE
dc.subjectRobotses_PE
dc.subjectSportses_PE
dc.subjectVideo signal processinges_PE
dc.subjectAutomated approaches_PE
dc.subjectAutomated processes_PE
dc.subjectColor segmentationColor space; External characteristic; Image calibration; Moving targets; Soccer robot, Automationes_PE
dc.subjectColor spacees_PE
dc.subjectExternal characteristices_PE
dc.subjectImage calibrationes_PE
dc.subjectMoving targetses_PE
dc.subjectSoccer robotes_PE
dc.subjectAutomationes_PE
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#1.02.00es_PE
dc.titleA Semi-Automated Approach for Recognizing Moving Targets Using a Global Vision Systemes_PE
dc.typeinfo:eu-repo/semantics/conferenceObject
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