About: Gait Recognition Based on Normalized Walk Cycles

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	We focus on recognizing persons according to the way they walk. Our approach considers a human movement as a set of trajectories formed by specific anatomical landmarks, such as hips, feet, shoulders, or hands. The trajectories are used for the extraction of distance-time dependency signals that express how a distance between a pair of specific landmarks on the human body changes in time as the person walks. The collection of such signals characterizes a gait pattern of person's walk. To determine the similarity of gait patterns, we propose several functions that compare various combinations of extracted signals. The gait patterns are compared on the level of individual walk cycles in order to increase the recognition effectiveness. The results evaluated on a 3D database of walking humans achieved the recognition rate up to 96%. We focus on recognizing persons according to the way they walk. Our approach considers a human movement as a set of trajectories formed by specific anatomical landmarks, such as hips, feet, shoulders, or hands. The trajectories are used for the extraction of distance-time dependency signals that express how a distance between a pair of specific landmarks on the human body changes in time as the person walks. The collection of such signals characterizes a gait pattern of person's walk. To determine the similarity of gait patterns, we propose several functions that compare various combinations of extracted signals. The gait patterns are compared on the level of individual walk cycles in order to increase the recognition effectiveness. The results evaluated on a 3D database of walking humans achieved the recognition rate up to 96%. (en)
Title	Gait Recognition Based on Normalized Walk Cycles Gait Recognition Based on Normalized Walk Cycles (en)
skos:prefLabel	Gait Recognition Based on Normalized Walk Cycles Gait Recognition Based on Normalized Walk Cycles (en)
skos:notation	RIV/00216224:14330/12:00057394!RIV13-GA0-14330___
http://linked.open...avai/riv/aktivita	P S
http://linked.open...avai/riv/aktivity	P(GAP103/10/0886), P(VG20122015073), S
http://linked.open...vai/riv/dodaniDat	2013
http://linked.open...aciTvurceVysledku	Sedmidubský, Jan Zezula, Pavel Balážia, Michal Valčík, Jakub
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Masarykova univerzita / Fakulta informatiky
http://linked.open...dnocenehoVysledku	137673
http://linked.open...ai/riv/idVysledku	RIV/00216224:14330/12:00057394
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	gait recognition; gait pattern; similarity of gait patterns (en)
http://linked.open.../riv/klicoveSlovo	gait pattern gait recognition similarity of gait patterns
http://linked.open...ontrolniKodProRIV	[15F594CE4296]
http://linked.open...v/mistoKonaniAkce	Rethymnon, Crete, Greece
http://linked.open...i/riv/mistoVydani	Heidelberg
http://linked.open...i/riv/nazevZdroje	Proceedings of 8th International Symposium on Visual Computing (ISVC 2012), LNCS 7432
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	4 (xsd:int)
http://linked.open...cetTvurcuVysledku	4 (xsd:int)
http://linked.open...vavai/riv/projekt	Content-based Image Retrieval on the Web Scale Efficient Searching in Large Biometric Data
http://linked.open...UplatneniVysledku	2012
http://linked.open...iv/tvurceVysledku	Sedmidubský, Jan Zezula, Pavel Balážia, Michal Valčík, Jakub
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2012-01-01 (xsd:date)
issn	0302-9743
number of pages	10 (xsd:int)
http://bibframe.org/vocab/doi	10.1007/978-3-642-33191-6_2
http://purl.org/ne...btex#hasPublisher	Springer-Verlag
https://schema.org/isbn	9783642331909
http://localhost/t...ganizacniJednotka	14330

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