Learning Robust Features for Gait Recognition by Maximum Margin
Criterion

D 2016

Learning Robust Features for Gait Recognition by Maximum Margin Criterion

BALÁŽIA, Michal and Petr SOJKA

Basic information

Original name

Learning Robust Features for Gait Recognition by Maximum Margin Criterion

Authors

BALÁŽIA, Michal (703 Slovakia, guarantor, belonging to the institution) and Petr SOJKA (203 Czech Republic, belonging to the institution)

Edition

LNCS 10029. Switzerland, Proceedings of the joint IAPR International Workshops on Structural and Syntactic Pattern Recognition (SSPR 2016) and Statistical Techniques in Pattern Recognition (SPR 2016), p. 585-586, 2 pp. 2016

Publisher

Springer International Publishing AG

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

Switzerland

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

printed version "print"

References:

conference web fulltext (Springer)

Impact factor

Impact factor: 0.402 in 2005

RIV identification code

RIV/00216224:14330/16:00091550

Organization unit

Faculty of Informatics

ISBN

978-3-319-49054-0

ISSN

DOI

http://dx.doi.org/10.1007/978-3-319-49055-7

UT WoS

000389509300052

Keywords (in Czech)

rozpoznávání podle chůze

Keywords in English

gait recognition

Abstract

V originále

Extended abstract. The full research paper "Learning Robust Features for Gait Recognition by Maximum Margin Criterion" has been accepted for publication at the 23rd IEEE/IAPR International Conference on Pattern Recognition (ICPR 2016), Cancun, Mexico, December 2016.

Links

MUNI/A/0892/2015, interní kód MU

Name: Výzkum v aplikované informatice na FI MU (Acronym: VAIFIMU)

Investor: Masaryk University, Category A

MUNI/A/0935/2015, interní kód MU

Name: Zapojení studentů Fakulty informatiky do mezinárodní vědecké komunity (Acronym: SKOMU)

Investor: Masaryk University, Category A

Files attached

sspr55arxiv.pdf

Find similar documents

Citovat

BALÁŽIA, Michal and Petr SOJKA. Learning Robust Features for Gait Recognition by Maximum Margin Criterion. In Antonio Robles-Kelly, Marco Loog, Battista Biggio, Francisco Escolano, Richard Wilson. Proceedings of the joint IAPR International Workshops on Structural and Syntactic Pattern Recognition (SSPR 2016) and Statistical Techniques in Pattern Recognition (SPR 2016). LNCS 10029. Switzerland: Springer International Publishing AG, 2016, p. 585-586. ISBN 978-3-319-49054-0. Available from: https://dx.doi.org/10.1007/978-3-319-49055-7.

@inproceedings{1359618,
   author = {Balážia, Michal and Sojka, Petr},
   address = {Switzerland},
   booktitle = {Proceedings of the joint IAPR International Workshops on Structural and Syntactic Pattern Recognition (SSPR 2016) and Statistical Techniques in Pattern Recognition (SPR 2016)},
   doi = {http://dx.doi.org/10.1007/978-3-319-49055-7},
   edition = {LNCS 10029},
   editor = {Antonio Robles-Kelly, Marco Loog, Battista Biggio, Francisco Escolano, Richard Wilson},
   keywords = {gait recognition},
   howpublished = {tištěná verze "print"},
   language = {eng},
   location = {Switzerland},
   isbn = {978-3-319-49054-0},
   pages = {585-586},
   publisher = {Springer International Publishing AG},
   title = {Learning Robust Features for Gait Recognition by Maximum Margin Criterion},
   url = {http://www.s-sspr.org/},
   year = {2016}
}

TY  - JOUR
ID  - 1359618
AU  - Balážia, Michal - Sojka, Petr
PY  - 2016
TI  - Learning Robust Features for Gait Recognition by Maximum Margin Criterion
PB  - Springer International Publishing AG
CY  - Switzerland
SN  - 9783319490540
KW  - gait recognition
UR  - http://www.s-sspr.org/
L2  - http://link.springer.com/content/pdf/bbm%3A978-3-319-49055-7%2F1.pdf
N2  - Extended abstract. The full research paper "Learning Robust Features for Gait Recognition by Maximum Margin Criterion" has been accepted for publication at the 23rd IEEE/IAPR International Conference on Pattern Recognition (ICPR 2016), Cancun, Mexico, December 2016.
ER  -

BALÁŽIA, Michal and Petr SOJKA. Learning Robust Features for Gait Recognition by Maximum Margin Criterion. In Antonio Robles-Kelly, Marco Loog, Battista Biggio, Francisco Escolano, Richard Wilson. \textit{Proceedings of the joint IAPR International Workshops on Structural and Syntactic Pattern Recognition (SSPR 2016) and Statistical Techniques in Pattern Recognition (SPR 2016)}. LNCS 10029. Switzerland: Springer International Publishing AG, 2016, p.~585-586. ISBN~978-3-319-49054-0. Available from: https://dx.doi.org/10.1007/978-3-319-49055-7.

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