Masaryk University

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    2018

    1. Gait Recognition from Motion Capture Data
      BALÁŽIA, Michal and Petr SOJKA. Gait Recognition from Motion Capture Data. ACM Transactions on Multimedia Computing, Communications and Applications (TOMM), special issue on Representation, Analysis and Recognition of 3D Humans. New York, USA: ACM, 2018, vol. 14, 1s, p. 1-18. ISSN 1551-6857. Available from: https://dx.doi.org/10.1145/3152124.
      DOI software, developed framework and database for reproducibility
      RIV/00216224:14330/18:00102051 Article in a journal. Informatics. English. United States of America.
      Balážia, Michal (703 Slovakia, guarantor, belonging to the institution) -- Sojka, Petr (203 Czech Republic, belonging to the institution)
      Keywords in English: gait recognition
      International impact: yes
      Reviewed: yes
      Changed by: doc. RNDr. Petr Sojka, Ph.D., učo 2378. Changed: 30/9/2020 23:11.
      More: https://is.muni.cz/publication/1390685/en

    2016

    1. Learning Robust Features for Gait Recognition by Maximum Margin Criterion
      BALÁŽIA, Michal and Petr SOJKA. Learning Robust Features for Gait Recognition by Maximum Margin Criterion. Online. In Eduardo Bayro-Corrochano, Gabrielle Sanniti di Baja, Gérard Medioni. Proceedings of the 23rd IEEE/IAPR International Conference on Pattern Recognition (ICPR 2016). USA: IEEE, 2016, p. 901-906. ISBN 978-1-5090-4847-2. Available from: https://dx.doi.org/10.1109/ICPR.2016.7899750.
      DOI conference web Proceedings
      RIV/00216224:14330/16:00090367 Proceedings paper. Informatics. English. United States of America.
      Balážia, Michal (703 Slovakia, guarantor, belonging to the institution) -- Sojka, Petr (203 Czech Republic, belonging to the institution)
      Keywords in English: gait recognition
      Type of proceedings: post-proceedings
      International impact: yes
      Reviewed: yes
      Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 4/4/2018 17:04.
      More: https://is.muni.cz/publication/1349591/en
    2. Walker-Independent Features for Gait Recognition from Motion Capture Data
      BALÁŽIA, Michal and Petr SOJKA. Walker-Independent Features for Gait Recognition from Motion Capture Data. 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. 310-321. ISBN 978-3-319-49054-0. Available from: https://dx.doi.org/10.1007/978-3-319-49055-7_28.
      DOI conference web
      RIV/00216224:14330/16:00090768 Proceedings paper. Informatics. English. Switzerland.
      Balážia, Michal (703 Slovakia, guarantor, belonging to the institution) -- Sojka, Petr (203 Czech Republic, belonging to the institution)
      Keywords in English: machine learning; classification; gait recognition
      Type of proceedings: pre-proceedings
      International impact: yes
      Reviewed: yes
      Changed by: RNDr. Michal Balážia, Ph.D., učo 256078. Changed: 12/2/2018 17:11.
      More: https://is.muni.cz/publication/1353537/en
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