Frame–based classification for cross-speed gait recognition
Author:
Funder
European Social Fund
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
http://link.springer.com/content/pdf/10.1007/s11042-017-5469-0.pdf
Reference31 articles.
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2. Ariyanto G, Nixon MS (2012) Marionette mass-spring model for 3d gait biometrics. In: Biometrics. IEEE, New Delhi, pp 354–359. https://doi.org/10.1109/ICB.2012.6199832
3. Aung M, Thies S, Kenney L, Howard D, Selles R, Findlow A, Goulermas J Automated detection of instantaneous gait events using time frequency analysis and manifold embedding. Trans Neural Syst Rehabil Eng 21(6). https://doi.org/10.1109/TNSRE.2013.2239313
4. Castro F, Marin-Jimenez M, Guil N, de la Blanca NP Automatic learning of gait signatures for people identification. arXiv: 1603.01006
5. Iwashita Y, Sakano H, Kurazume R (2015) Gait recognition robust to speed transition using mutual subspace method. In: Image Analysis and Processing, Vol. 9279 of Lecture Notes in Computer Science. Springer, Berlin, pp 141–149. https://doi.org/10.1007/978-3-319-23231-7_13
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