Learning Robust Features for Gait Recognition by Maximum Margin Criterion

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Authors

BALÁŽIA Michal SOJKA Petr

Year of publication 2016
Type Article in Proceedings
Conference Proceedings of the joint IAPR International Workshops on Structural and Syntactic Pattern Recognition (SSPR 2016) and Statistical Techniques in Pattern Recognition (SPR 2016)
MU Faculty or unit

Faculty of Informatics

Citation
Web
Doi http://dx.doi.org/10.1007/978-3-319-49055-7
Field Informatics
Keywords gait recognition
Attached files
Description 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.
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