Fusion of Gait and Face for Human Identification at the Feature Level-Reference-Cited by-同舟云学术

Fusion of Gait and Face for Human Identification at the Feature Level

Published:2022 Issue: Volume: Page:475-483
ISSN:0302-9743
Container-title:Biometric Recognition
language:
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Author:

Fu Hui,Kang Wenxiong,Zhang Yuxuan,Shakeel M. Saad

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-20233-9_48

Reference22 articles.

1. Sepas-Moghaddam, A., Etemad, A.: Deep gait recognition: a survey (2021). arXiv:2102.09546

2. Shen, C., Yu, S., Wang, J., Huang, G.Q., Wang, L.: A comprehensive survey on deep gait recognition: algorithms, datasets and challenges (2022). arXiv:2206.13732

3. Xin, G., Liang, W., Ming, L., Qiang, W., Smith-Miles, K.: Adaptive fusion of gait and face for human identification in video. In: 2008 IEEE Workshop on Applications of Computer Vision (2008)

4. Hofmann, H., Schmidt, S.M., Rajagopalan, A.N., Rigoll, G.: Combined face and gait recognition using alpha matte preprocessing. In: 2012 5th IAPR International Conference on Biometrics (ICB) (2012)

5. Geng, X., Smith-Miles, K., Wang, L., Li, M., Qiang, W.: Context-aware fusion: a case study on fusion of gait and face for human identification in video. Pattern Recogn. 43(10), 3660–3673 (2010)

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