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GaitFM: Fine-grained Motion Representation for Gait Recognition. (arXiv:2209.08470v1 [cs.CV])
Sept. 20, 2022, 1:12 a.m. | Lei Wang, Fangfang Liang, Bincheng Wang, Bo Liu
cs.CV updates on arXiv.org arxiv.org
Gait recognition aims at identifying individual-specific walking patterns,
which is highly dependent on the observation of the different periodic
movements of each body part. However, most existing methods treat each part
equally and neglect the data redundancy due to the high sampling rate of gait
sequences. In this work, we propose a fine-grained motion representation
network (GaitFM) to improve gait recognition performance in three aspects.
First, a fine-grained part sequence learning (FPSL) module is designed to
explore part-independent spatio-temporal representations. …
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