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With the continued development of global economies and societies, a new trend is emerging: the application of intelligent technologies, with urban intelligence at the forefront. Consequently, person re-identification, as a fundamental technology, has attracted increasing attention from researchers. Currently, deep learning-based person re-identification methods have achieved promising performance. However, their capabilities in many aspects still appear suboptimal, making it difficult to meet the practical application demands of complex, large-scale scenarios in current video surveillance.

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Conclusion and Future Work

  • 章节

  • 发表日期：

    2026年

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  • Hongyang Gu,
  • Yao Ding,
  • Xiaogang Yang,
  • Ruitao Lu,
  • Lei Pu,
  • Siming Han

摘要

With the continued development of global economies and societies, a new trend is emerging: the application of intelligent technologies, with urban intelligence at the forefront. Consequently, person re-identification, as a fundamental technology, has attracted increasing attention from researchers. Currently, deep learning-based person re-identification methods have achieved promising performance. However, their capabilities in many aspects still appear suboptimal, making it difficult to meet the practical application demands of complex, large-scale scenarios in current video surveillance.