Person Re-identification in Video Surveillance Systems Using Deep Learning: Analysis of the Existing Methods
Author:
Publisher
Pleiades Publishing Ltd
Subject
Control and Systems Engineering,Electrical and Electronic Engineering
Link
https://link.springer.com/content/pdf/10.1134/S0005117923050041.pdf
Reference122 articles.
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2. Ye, M., Shen, J., Lin, G., Xiang, T., Shao, L., and Hoi, S.C., Deep Learning for Person Re-identification: A Survey and Outlook, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021. https://doi.org/10.1109/TPAMI.2021.3054775
3. Zang, X., Li, G., and Gao, W., Multi-direction and Multi-scale Pyramid in Transformer for Video-based Pedestrian Retrieval, arXiv: abs/2202.06014, 2022. https://doi.org/10.1109/TII.2022.3151766
4. Mihaescu, R., Chindea, M., Paleologu, C., Carata, S., and Ghenescu, M., Person Re-Identification across Data Distributions Based on General Purpose DNN Object Detector, Algorithms, 2020, no. 13, art. no. 343. https://doi.org/10.3390/a13120343
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1. Person re-identification method based on fine-grained feature fusion and self-attention mechanism;Computing;2024-03-25
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