Distribution probability‐based self‐adaption metric learning for person re‐identification
Abstract Person re‐identification addresses the problem of pedestrian image matching in a non‐overlapped surveillance network. Traditional metric learning methods try to learn a fixed pedestrian images matching metric model. However, existing metric learning‐based methods have the problem of overfit...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-06-01
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| Series: | IET Computer Vision |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/cvi2.12094 |