Gait Recognition Based on Normalized Walk Cycles

D 2012

Gait Recognition Based on Normalized Walk Cycles

SEDMIDUBSKÝ, Jan; Jakub VALČÍK; Michal BALÁŽIA a Pavel ZEZULA

Základní údaje

Originální název

Gait Recognition Based on Normalized Walk Cycles

Název česky

Rozpoznávání chůze na základě normalizovaných kroků

Autoři

SEDMIDUBSKÝ, Jan; Jakub VALČÍK; Michal BALÁŽIA a Pavel ZEZULA

Vydání

LNCS 7432. Heidelberg, Proceedings of 8th International Symposium on Visual Computing (ISVC 2012), od s. 11-20, 10 s. 2012

Nakladatel

Springer-Verlag

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

10201 Computer sciences, information science, bioinformatics

Stát vydavatele

Německo

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

tištěná verze "print"

Odkazy

conference web

Impakt faktor

Impact factor: 0.402 v roce 2005

Kód RIV

RIV/00216224:14330/12:00057394

Organizační jednotka

Fakulta informatiky

ISBN

978-3-642-33190-9

ISSN

DOI

https://doi.org/10.1007/978-3-642-33191-6_2

UT WoS

000363265800002

Klíčová slova anglicky

gait recognition; gait pattern; similarity of gait patterns

Štítky

DISA

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 12. 2. 2018 17:15, RNDr. Michal Balážia, Ph.D.

Anotace

V originále

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%.

Návaznosti

GAP103/10/0886, projekt VaV

Název: Vizuální vyhledávání obrázků na Webu (Akronym: VisualWeb)

Investor: Grantová agentura ČR, Vizuální vyhledávání obrázků na Webu

VG20122015073, projekt VaV

Název: Efektivní vyhledávání v rozsáhlých biometrických datech (Akronym: EFBIO)

Investor: Ministerstvo vnitra ČR, Efektivní vyhledávání v rozsáhlých biometrických datech

Citovat

SEDMIDUBSKÝ, Jan; Jakub VALČÍK; Michal BALÁŽIA a Pavel ZEZULA. Gait Recognition Based on Normalized Walk Cycles. In George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Charless Fowlkes, Sen Wang, Min-Hyung Choi, Stephan Mantler, Jürgen Schulze, Daniel Acevedo, Klaus Mueller, Michael Papka. Proceedings of 8th International Symposium on Visual Computing (ISVC 2012). LNCS 7432. Heidelberg: Springer-Verlag, 2012, s. 11-20. ISBN 978-3-642-33190-9. Dostupné z: https://doi.org/10.1007/978-3-642-33191-6_2.

@inproceedings{982503,
   author = {Sedmidubský, Jan and Valčík, Jakub and Balážia, Michal and Zezula, Pavel},
   address = {Heidelberg},
   booktitle = {Proceedings of 8th International Symposium on Visual Computing (ISVC 2012)},
   doi = {https://doi.org/10.1007/978-3-642-33191-6_2},
   edition = {LNCS 7432},
   editor = {George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Charless Fowlkes, Sen Wang, Min-Hyung Choi, Stephan Mantler, Jürgen Schulze, Daniel Acevedo, Klaus Mueller, Michael Papka},
   keywords = {gait recognition; gait pattern; similarity of gait patterns},
   howpublished = {tištěná verze "print"},
   language = {eng},
   location = {Heidelberg},
   isbn = {978-3-642-33190-9},
   pages = {11-20},
   publisher = {Springer-Verlag},
   title = {Gait Recognition Based on Normalized Walk Cycles},
   url = {http://www.isvc.net/12/},
   year = {2012}
}

TY  - CONF
ID  - 982503
AU  - Sedmidubský, Jan - Valčík, Jakub - Balážia, Michal - Zezula, Pavel
PY  - 2012
TI  - Gait Recognition Based on Normalized Walk Cycles
PB  - Springer-Verlag
CY  - Heidelberg
SN  - 9783642331909
KW  - gait recognition
KW  - gait pattern
KW  - similarity of gait patterns
UR  - http://www.isvc.net/12/
L2  - http://www.isvc.net/12/
N2  - 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%.
ER  -

SEDMIDUBSKÝ, Jan; Jakub VALČÍK; Michal BALÁŽIA a Pavel ZEZULA. Gait Recognition Based on Normalized Walk Cycles. In George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Charless Fowlkes, Sen Wang, Min-Hyung Choi, Stephan Mantler, Jürgen Schulze, Daniel Acevedo, Klaus Mueller, Michael Papka. \textit{Proceedings of 8th International Symposium on Visual Computing (ISVC 2012)}. LNCS 7432. Heidelberg: Springer-Verlag, 2012, s.~11-20. ISBN~978-3-642-33190-9. Dostupné z: https://doi.org/10.1007/978-3-642-33191-6\_{}2.

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