Human identification based on Gait Manifold
Author:
Funder
Key Research and Development Plan of Zhejiang Province
Natural Science Foundation of Zhejiang Province
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-022-03818-4.pdf
Reference35 articles.
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2. Wu Z, Huang Y, Wang L, Wang X, Tan T (2017) A comprehensive study on cross-view gait based human identification with deep CNNs. IEEE Trans Pattern Anal Mach Intell 39(2):209–226. https://doi.org/10.1109/TPAMI.2016.2545669
3. Chao H, Wang K, He Y, Zhang J, Feng J (2021) GaitSet: Cross-view gait recognition through utilizing gait as a deep set. IEEE Trans Pattern Anal Mach Intell 44(7):3467–3478. https://doi.org/10.1109/TPAMI.2021.3057879
4. Wang Y, Chen Y, Bhuiyan M, Han Y, Zhao S, Li J (2017) Gait-based human identification using acoustic sensor and deep neural network. Futur Gener Comput Syst 86:1228–1237
5. Takemura N, Makihara Y, Muramatsu D, Echigo T, Yagi Y (2019) On input/output architectures for convolutional neural network-based cross-view gait recognition. IEEE Trans Circ Syst Video Technol 29(9):2708–2719. https://doi.org/10.1109/TCSVT.2017.2760835
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