Logo des Repositoriums
 

Activity related biometrics based on motion trajectories

dc.contributor.authorDrosou, Anastasios
dc.contributor.authorMoustakas, Konstantinos
dc.contributor.authorIoannidis, Dimos
dc.contributor.authorTzovaras, Dimitrios
dc.contributor.editorBrömme, Arslan
dc.contributor.editorBusch, Christoph
dc.date.accessioned2019-01-17T10:33:03Z
dc.date.available2019-01-17T10:33:03Z
dc.date.issued2010
dc.description.abstractThe current paper contributes to the concept of activity-related biometric authentication in ambient Intelligence environments. The motivation behind the proposed approach derives from activity-related biometrics and is mainly focusing on everyday activities. The activity sequence is captured by a stereoscopic camera and the resulting 2.5D data are processed to extract valuable unobtrusive activity-related features. The novel contribution of the current work lies in the warping of the extracted movements trajectories, so as to compensate for different environmental settings. Au- thentication is performed utilizing both HMM and GMMs. The authentication results performed on a database with 32 subjects show that the current work outperforms existing approaches especially in the case of non-interaction restricting scenarios.en
dc.identifier.isbn978-3-88579-258-1
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/19561
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofBIOSIG 2010: Biometrics and Electronic Signatures. Proceedings of the Special Interest Group on Biometrics and Electronic Signatures
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-164
dc.titleActivity related biometrics based on motion trajectoriesen
dc.typeText/Conference Paper
gi.citation.endPage132
gi.citation.publisherPlaceBonn
gi.citation.startPage127
gi.conference.date09.-10. September 2010
gi.conference.locationDarmstadt
gi.conference.sessiontitleRegular Research Papers

Dateien

Originalbündel
1 - 1 von 1
Lade...
Vorschaubild
Name:
127.pdf
Größe:
112.25 KB
Format:
Adobe Portable Document Format