The Perspectives in Gait Recognition

Uproszczony widok
dc.contributor.authorKowalski, Piotr M.
dc.date.accessioned2021-07-19T07:39:47Z
dc.date.available2021-07-19T07:39:47Z
dc.date.issued2018
dc.description.abstractIn this paper we provide a detailed information on classical and recent research results in gait recognition. We provide classification of leading concepts, representations, experiments and available datasets. The most promising algorithms are provided with more details and in the end we provide some predictions on future research. Paper contains also summary on methods used in a variety of papers on gait recognition published after 2002.en_EN
dc.identifier.citationKowalski, P. M. (2018). The Perspectives in Gait Recognition. Journal of Applied Computer Science, 26(2), 73-98. https://doi.org/10.34658/jacs.2018.26.2.73-98
dc.identifier.doihttps://doi.org/10.34658/jacs.2018.26.2.73-98
dc.identifier.doi10.34658/jacs.2018.26.2.73-98
dc.identifier.issn1507-0360
dc.identifier.urihttp://hdl.handle.net/11652/3891
dc.identifier.urihttps://doi.org/10.34658/jacs.2018.26.2.73-98
dc.language.isoenen_EN
dc.page.numbers. 73-98
dc.publisherWydawnictwo Politechniki Łódzkiejpl_PL
dc.publisherLodz University of Technology Pressen_EN
dc.relation.ispartofJournal of Applied Computer Science, Vol. 26, No. 2, Wydawnictwo Politechniki Łódzkiej, Łódź 2018, ISSN 1507-0360.
dc.rightsFair use conditionen_EN
dc.rightsDla wszystkich w zakresie dozwolonego użytkupl_PL
dc.rights.licenseLUT Licenseen_EN
dc.rights.licenseLicencja PŁpl_PL
dc.subjectgait recognitionen_EN
dc.subjectbaseline algorithmen_EN
dc.subjectgait energy imageen_EN
dc.subjectbiometryen_EN
dc.subjectgait biometryen_EN
dc.subjectrozpoznawanie chodupl_PL
dc.subjectalgorytm podstawowypl_PL
dc.subjectobraz energii chodupl_PL
dc.subjectbiometriapl_PL
dc.subjectbiometria chodupl_PL
dc.titleThe Perspectives in Gait Recognitionen_EN
dc.typeArtykułpl_PL
dc.typeArticleen_EN

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2018, Tom 26 Nr 2
Artykuły (WFTIiMS)