开放式行人再识别研究进展综述

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.