Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/1571
DC FieldValueLanguage
dc.contributor.authorKasparis, Takis-
dc.contributor.authorTsai, PingSing-
dc.contributor.authorShah, Mubarak A.-
dc.contributor.otherΚασπαρής, Τάκης-
dc.date.accessioned2013-02-19T10:37:45Zen
dc.date.accessioned2013-05-17T05:22:23Z-
dc.date.accessioned2015-12-02T10:00:25Z-
dc.date.available2013-02-19T10:37:45Zen
dc.date.available2013-05-17T05:22:23Z-
dc.date.available2015-12-02T10:00:25Z-
dc.date.issued1994-12-
dc.identifier.citationPattern Recognition, 1994, vol. 27, no.12, pp. 1591-1603en_US
dc.identifier.issn00313203-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/1571-
dc.description.abstractThe motion of a walking person is analyzed by examining cycles in the movement. Cycles are detected using autocorrelation and Fourier transform techniques of the smoothed spatio-temporal curvature function of trajectories created by specific points on the object as it performs cyclic motion. A large impulse in the Fourier magnitude plot indicates the frequency at which cycles are occurring. Both synthetically generated and real walking sequences are analyzed for cyclic motion. The real sequences are then used in a motion based recognition application in which one complete cycle is stored as a model, and a matching process is performed using one cycle of an input trajectory.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.relation.ispartofPattern Recognitionen_US
dc.rights© Elsevieren_US
dc.subjectComputer visionen_US
dc.subjectPattern recognitionen_US
dc.subjectEquations of motionen_US
dc.titleCyclic motion detection for motion based recognitionen_US
dc.typeArticleen_US
dc.affiliationUniversity of Central Floridaen
dc.collaborationUniversity of Central Floridaen_US
dc.subject.categoryElectrical Engineering - Electronic Engineering - Information Engineeringen_US
dc.journalsHybrid Open Accessen_US
dc.countryUnited Statesen_US
dc.subject.fieldEngineering and Technologyen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.1016/0031-3203(94)90079-5en_US
dc.dept.handle123456789/54en
dc.relation.issue12en_US
dc.relation.volume27en_US
cut.common.academicyear1995-1996en_US
dc.identifier.spage1591en_US
dc.identifier.epage1603en_US
item.grantfulltextnone-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.openairetypearticle-
item.fulltextNo Fulltext-
crisitem.journal.journalissn0031-3203-
crisitem.journal.publisherElsevier-
crisitem.author.deptDepartment of Electrical Engineering, Computer Engineering and Informatics-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0000-0003-3486-538x-
crisitem.author.parentorgFaculty of Engineering and Technology-
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