Masaryk University

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    2022

    1. BALÁŽIA, Michal, Kateřina HLAVÁČKOVÁ-SCHINDLER, Petr SOJKA and Claudia PLANT. Interpretable Gait Recognition by Granger Causality. In Proceedings of 26th International Conference on Pattern Recognition, ICPR 2022. Los Alamitos, CA, USA: IEEE, 2022, p. 1069-1075. ISBN 978-1-6654-9062-7. Available from: https://dx.doi.org/10.1109/ICPR56361.2022.9956624.

    2018

    1. 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.

    2017

    1. BALÁŽIA, Michal and Petr SOJKA. An Evaluation Framework and Database for MoCap-Based Gait Recognition Methods. In Miguel Colom, Bertrand Kerautret and Pascal Monasse. Proceedings of the 1st IAPR Workshop on Reproducible Research in Pattern Recognition (RRPR 2016). LNCS 10214. Switzerland: Springer International Publishing AG, 2017, p. 33-47. ISBN 978-3-319-56413-5. Available from: https://dx.doi.org/10.1007/978-3-319-56414-2_3.
    2. BALÁŽIA, Michal and Konstantinos N. PLATANIOTIS. Human Gait Recognition from Motion Capture Data in Signature Poses. IET Biometrics. London, UK: IET, 2017, vol. 6, No 2, p. 129-137. ISSN 2047-4938. Available from: https://dx.doi.org/10.1049/iet-bmt.2015.0072.
    3. BALÁŽIA, Michal and Petr SOJKA. You Are How You Walk: Uncooperative MoCap Gait Identification for Video Surveillance with Incomplete and Noisy Data. Online. In Ross Beveridge, Liang Wang, Mark Nixon. Proceedings of the 3rd IEEE/IAPR International Joint Conference on Biometrics (IJCB 2017). USA: IEEE, 2017, p. 208-215. ISBN 978-1-5386-1124-1. Available from: https://dx.doi.org/10.1109/BTAS.2017.8272700.

    2016

    1. 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.
    2. 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.
    3. 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.

    2014

    1. BALÁŽIA, Michal, Jan SEDMIDUBSKÝ and Pavel ZEZULA. Semantically Consistent Human Motion Segmentation. In Hendrik Decker, Lenka Lhotská, Sebastian Link, Marcus Spies, Roland R. Wagner. Proceedings of 25th International Conference on Database and Expert Systems Applications (DEXA 2014). LNCS 8644. Switzerland: Springer, 2014, p. 423-437. ISBN 978-3-319-10072-2. Available from: https://dx.doi.org/10.1007/978-3-319-10073-9_36.

    2012

    1. SEDMIDUBSKÝ, Jan, Jakub VALČÍK, Michal BALÁŽIA and 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, p. 11-20. ISBN 978-3-642-33190-9. Available from: https://dx.doi.org/10.1007/978-3-642-33191-6_2.
    2. VALČÍK, Jakub, Jan SEDMIDUBSKÝ, Michal BALÁŽIA and Pavel ZEZULA. Identifying Walk Cycles for Human Recognition. In M. Chau, G. Alan Wang, Wei Thoo Yue, Hsinchun Chen. Proceedings of Pacific Asia Workshop on Intelligence and Security Informatics (PAISI 2012). LNCS 7299. Berlin: Springer-Verlag, 2012, p. 127-135. ISBN 978-3-642-30427-9. Available from: https://dx.doi.org/10.1007/978-3-642-30428-6_10.
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