A partition approach for robust gait recognition based on gait template fusion
Author:
Publisher
Zhejiang University Press
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing
Link
https://link.springer.com/content/pdf/10.1631/FITEE.2000377.pdf
Reference34 articles.
1. Bashir K, Xiang T, Gong SG, 2010a. Cross-view gait recognition using correlation strength. Proc British Machine Vision Conf, p.1-11. https://doi.org/10.5244/C24.109
2. Bashir K, Xiang T, Gong SG, 2010b. Gait recognition without subject cooperation. Patt Recogn Lett, 31(13):2052–2060. https://doi.org/10.1016/j.patrec.2010.05.027
3. Ben XY, Gong C, Zhang P, et al., 2019a. Coupled patch alignment for matching cross-view gaits. IEEE Trans Image Process, 28(6):3142–3157. https://doi.org/10.1109/TIP.2019.2894362
4. Ben XY, Zhang P, Lai ZH, et al., 2019b. A general tensor representation framework for cross-view gait recognition. Patt Recogn, 90:87–98. https://doi.org/10.1016/j.patcog.2019.01.017
5. Ben XY, Gong C, Zhang P, et al., 2020. Coupled bilinear discriminant projection for cross-view gait recognition. IEEE Trans Circ Syst Video Technol, 30(3):734–747. https://doi.org/10.1109/TCSVT.2019.2893736
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