Learning rich features for gait recognition by integrating skeletons and silhouettes
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-15483-x.pdf
Reference63 articles.
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2. An W, Yu S, Makihara Y et al (2020) Performance evaluation of model-based gait on multi-view very large population database with pose sequences. IEEE Trans Biometr Behav Ident Sci 2(4):421–430. https://doi.org/10.1109/tbiom.2020.3008862
3. Bodla N, Zheng J, Xu H et al (2017) Deep heterogeneous feature fusion for template-based face recognition. In: 2017 IEEE winter conference on applications of computer vision (WACV). IEEE, pp 586–595
4. Bouchrika I, Goffredo M, Carter J et al (2011) On using gait in forensic biometrics. J Forens Sci 56(4):882–889. https://doi.org/10.1111/j.1556-4029.2011.01793.x
5. Boulgouris N V, Huang X (2013) Gait recognition using hmms and dual discriminative observations for sub-dynamics analysis. IEEE Trans Image Process 22(9):3636–3647. https://doi.org/10.1109/tip.2013.2266578
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