Multimodal feature fusion for CNN-based gait recognition: an empirical comparison-Reference-Cited by-同舟云学术

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Multimodal feature fusion for CNN-based gait recognition: an empirical comparison

Published:2020-03-07 Issue:17 Volume:32 Page:14173-14193
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Castro Francisco M.,Marín-Jiménez Manuel J.,Guil Nicolás,Pérez de la Blanca Nicolás

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/content/pdf/10.1007/s00521-020-04811-z.pdf

Reference67 articles.

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2. Zeng F, Hu S (2019) Xiao K (2018) Research on partial fingerprint recognition algorithm based on deep learning. Neural Comput Appl 31:4789–4798. https://doi.org/10.1007/s00521-018-3609-8

3. Moeslund TB, Hilton A, Kruger V (2006) A survey of advances in vision-based human motion capture and analysis. Comput Vis Image Underst 104:90–126

4. Turaga P, Chellappa R, Subrahmanian VS, Udrea O (2008) Machine recognition of human activities: a survey. IEEE Trans Circuits Syst Video Technol 18(11):1473–1488

5. Soomro K, Zamir AR, Shah M (2012) UCF101: a dataset of 101 human action classes from videos in the wild. In: CRCV-TR-12-01

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