Artificial Immune System Optimization Based Duplex Kinect Skeleton Fusion

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dc.authoridKarci, Ali/0000-0002-8489-8617
dc.authoridGündüz, Ali Fatih/0000-0002-3838-6813
dc.authoridŞen, Mehmed Oğuz/0000-0002-0533-1859
dc.authoridYeroglu, Celaleddin/0000-0002-6106-2374
dc.authorwosidKarci, Ali/AAG-5337-2019
dc.authorwosidGündüz, Ali Fatih/ABM-5571-2022
dc.authorwosidKARCI, Ali/A-9604-2019
dc.authorwosidYeroglu, Celaleddin/ABG-9572-2020
dc.authorwosidŞen, Mehmed Oğuz/ABG-9990-2020
dc.contributor.authorGunduz, Ali Fatih
dc.contributor.authorSen, Mehmed Oguz
dc.contributor.authorKarci, Ali
dc.contributor.authorYeroglu, Celaleddin
dc.date.accessioned2024-08-04T20:44:11Z
dc.date.available2024-08-04T20:44:11Z
dc.date.issued2017
dc.departmentİnönü Üniversitesien_US
dc.description2017 International Artificial Intelligence and Data Processing Symposium (IDAP) -- SEP 16-17, 2017 -- Malatya, TURKEYen_US
dc.description.abstractHuman motion tracking, which requires both motion sensing hardware and algorithms based on computer vision, is an enjoyable and active research area with diverse applications. As a depth sensor device Kinect is a famous hardware component for this task. In this work, we studied using more than one Kinect camera to obtain better motion tracking which is applicable for motion capture. We synthetically created two camera data from one and then focused on de-noising and fusing these data in order to obtain more realistic skeleton joint coordinates. Artificial Immune System (AIS) optimization algorithm is suggested and used for this task. As a result we obtained 30% better fusion results from noisy synthetic data. Our results showed that AIS is a promising algorithm for obtaining optimal joint coordinates in the fusion of multiple Kinect skeleton data.en_US
dc.description.sponsorshipIEEE Turkey Sect,Anatolian Scien_US
dc.identifier.isbn978-1-5386-1880-6
dc.identifier.scopus2-s2.0-85039919525en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://hdl.handle.net/11616/98092
dc.identifier.wosWOS:000426868700088en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIeeeen_US
dc.relation.ispartof2017 International Artificial Intelligence and Data Processing Symposium (Idap)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectKinecten_US
dc.subjectmotion trackingen_US
dc.subjectoptimizationen_US
dc.subjectartificial intelligenceen_US
dc.subjectartificial immune systemen_US
dc.subject3D transformationen_US
dc.subjectdata fusionen_US
dc.titleArtificial Immune System Optimization Based Duplex Kinect Skeleton Fusionen_US
dc.typeConference Objecten_US

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