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
Type of outcome
Proceedings paper
Field of Study
Informatics
Country of publisher
Switzerland
Confidentiality degree
is not subject to a state or trade secret
Publication form
printed version "print"
RIV identification code
RIV/00216224:14330/16:00091550
Organization
Fakulta informatiky – Repository – Repository
EID Scopus
2-s2.0-84996866038
Keywords (in Czech)
rozpoznávání podle chůze
Keywords in English
gait recognition
Links
MUNI/A/0892/2015, interní kód Repo. MUNI/A/0935/2015, interní kód Repo.
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.
Displayed: 4/7/2025 11:04