Learning view‐invariant features using stacked autoencoder for skeleton‐based gait recognition
Abstract Human gait recognition in a multicamera environment is a challenging task in biometrics because of the presence of the large pose and variations in illumination among different views. In this work, to address the problem of variations in view, we present a novel stacked autoencoder for lear...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-10-01
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| Series: | IET Computer Vision |
| Online Access: | https://doi.org/10.1049/cvi2.12050 |