摘要
Open-world person re-identification (Re-ID) is a task that the query person may not occur in the gallery set in an agnostic space environment. Compared with the closed-world person Re-ID, open-world Re-ID is seen as a subproblem of image retrieval, and is a more challenging and practical application research. We firstly compare and analyze the different pedestrian datasets and describe the development of existing open-set Re-ID works, the discrepancies between closed- and open-world Re-ID, and the modeling process of open-world Re-ID. Then, we focus on summarizing the research methods of open-world Re-ID, which are data-driven research methods, efficiency-driven research methods and application-driven research methods. Finally, the issues of the research and future directions for open-world Re-ID are discussed.
投稿的翻译标题 | Review on Research Progress of Open-World Person Re-identification |
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源语言 | 繁体中文 |
页(从-至) | 449-467 |
页数 | 19 |
期刊 | Shuju Caiji Yu Chuli/Journal of Data Acquisition and Processing |
卷 | 36 |
期 | 3 |
DOI | |
出版状态 | 已出版 - 5月 2021 |
关键词
- Deep learning
- Metric learning
- Object detection
- Open-world person re-identification