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Statements

Subject Item
n2:RIV%2F00216224%3A14330%2F12%3A00057307%21RIV13-GA0-14330___
rdf:type
skos:Concept n8:Vysledek
dcterms:description
We concentrate on recognizing persons according to the way they walk. Our approach considers a human movement as a set of trajectories of hips, knees, and feet captured as the person walks. The trajectories are used for the extraction of viewpoint invariant planar signals that express how a distance between a pair of specific points on the human body changes in time. We solely focus on analysis and normalization of extracted signals to simplify their similarity comparison, without presenting any specific gait recognition method. In particular, we propose a novel method for automatic determination of walk cycles within extracted signals and evaluate its importance on a real-life human motion database. We concentrate on recognizing persons according to the way they walk. Our approach considers a human movement as a set of trajectories of hips, knees, and feet captured as the person walks. The trajectories are used for the extraction of viewpoint invariant planar signals that express how a distance between a pair of specific points on the human body changes in time. We solely focus on analysis and normalization of extracted signals to simplify their similarity comparison, without presenting any specific gait recognition method. In particular, we propose a novel method for automatic determination of walk cycles within extracted signals and evaluate its importance on a real-life human motion database.
dcterms:title
Identifying Walk Cycles for Human Recognition Identifying Walk Cycles for Human Recognition
skos:prefLabel
Identifying Walk Cycles for Human Recognition Identifying Walk Cycles for Human Recognition
skos:notation
RIV/00216224:14330/12:00057307!RIV13-GA0-14330___
n8:predkladatel
n9:orjk%3A14330
n3:aktivita
n20:P
n3:aktivity
P(GBP103/12/G084), P(VG20122015073)
n3:dodaniDat
n11:2013
n3:domaciTvurceVysledku
n15:3165647 n15:1734873 n15:5763835 n15:8731594
n3:druhVysledku
n4:D
n3:duvernostUdaju
n17:S
n3:entitaPredkladatele
n21:predkladatel
n3:idSjednocenehoVysledku
140396
n3:idVysledku
RIV/00216224:14330/12:00057307
n3:jazykVysledku
n22:eng
n3:klicovaSlova
gait recognition; walk cycle identification; time normalization; similarity distance
n3:klicoveSlovo
n5:similarity%20distance n5:gait%20recognition n5:time%20normalization n5:walk%20cycle%20identification
n3:kontrolniKodProRIV
[D64D808508D2]
n3:mistoKonaniAkce
Kuala Lumpur, Malaysia
n3:mistoVydani
Berlin
n3:nazevZdroje
Proceedings of Pacific Asia Workshop on Intelligence and Security Informatics (PAISI 2012), LNCS 7299
n3:obor
n16:IN
n3:pocetDomacichTvurcuVysledku
4
n3:pocetTvurcuVysledku
4
n3:projekt
n10:VG20122015073 n10:GBP103%2F12%2FG084
n3:rokUplatneniVysledku
n11:2012
n3:tvurceVysledku
Sedmidubský, Jan Zezula, Pavel Balážia, Michal Valčík, Jakub
n3:typAkce
n23:WRD
n3:zahajeniAkce
2012-01-01+01:00
s:issn
0302-9743
s:numberOfPages
9
n7:doi
10.1007/978-3-642-30428-6_10
n19:hasPublisher
Springer-Verlag
n13:isbn
9783642304279
n18:organizacniJednotka
14330