Deep Learning for Person Re-Identification: A Survey and Outlook

@article{Ye2022DeepLF,
  title={Deep Learning for Person Re-Identification: A Survey and Outlook},
  author={Mang Ye and Jianbing Shen and Gaojie Lin and Tao Xiang and Ling Shao and Steven C. H. Hoi},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year={2022},
  volume={44},
  pages={2872-2893}
}
  • Mang YeJianbing Shen S. Hoi
  • Published 13 January 2020
  • Computer Science
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
Person re-identification (Re-ID) aims at retrieving a person of interest across multiple non-overlapping cameras. With the advancement of deep neural networks and increasing demand of intelligent video surveillance, it has gained significantly increased interest in the computer vision community. By dissecting the involved components in developing a person Re-ID system, we categorize it into the closed-world and open-world settings. The widely studied closed-world setting is usually applied… 

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