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    • A benchmark dataset for multi-view mixed text-to-image person retrieval

    • In the fields of smart cities and intelligent security, with the development of drone imaging technology, "air ground collaboration" multi perspective monitoring has become the mainstream trend. However, current TIPR research mainly focuses on ground perspectives and lacks a benchmark dataset that covers both aerial and ground perspectives, which limits its application in multi perspective collaborative monitoring scenarios. Therefore, relevant experts have constructed a mixed multi view pedestrian retrieval benchmark dataset AGMix PR that includes aerial and ground perspectives, providing important support for promoting research on multi view TIPR.
    • Pages: 1-16(2026)   

      Received:30 November 2025

      Revised:2026-01-19

      Accepted:03 February 2026

      Published Online:03 February 2026

    • DOI: 10.11834/jig.250604     

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  • Zhou Xinyu, Wu Yu, Cao Min, Zhu Qiaoming, Ye Mang. A benchmark dataset for multi-view mixed text-to-image person retrieval[J/OL]. Journal of Image and Graphics, 2026, 1-16. DOI: 10.11834/jig.250604.
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相关作者

Wang Yabin 西安交通大学
Hong Xiaopeng 哈尔滨工业大学
Huang Zhiwu 南安普顿大学,南安普顿 BJ,
Xu Xiaolin 东南大学生物科学与医学工程学院
Zheng Wenming 东南大学生物科学与医学工程学院;东南大学儿童发展与学习科学教育部重点实验室
Lian Hailun 东南大学信息科学与工程学院
Li Sunan 东南大学信息科学与工程学院
Liu Jiateng 东南大学生物科学与医学工程学院

相关机构

University of Southampton,Southampton BJSO171, United Kingdom
Harbin Institute of Technology
Xi’an Jiaotong University
School of Biological Science and Medical Engineering, Southeast University
Key Laboratory of Child Development and Learning Science, Ministry of Education, Southeast University
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