Deep learning network for UAV person re-identification based on residual block

被引：0

作者：

Shujian ZHANG ^{[1
]}

Chen WEI ^{[1
]}

机构：

[1] School of Automation Science and Electrical Engineering, Beihang University

来源：

Science China(Information Sciences) | 2020年 / 63卷 / 07期

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论]; V279 [无人驾驶飞机];

学科分类号：

081104 ; 0812 ; 0835 ; 1111 ; 1405 ;

摘要：

Dear editor,Unmanned aerial vehicles (UAVs) are well known for their flexibility and adaptability [1]. In recent years, UAVs have been commonly used as maneuverable cameras in surveillance systems. Consequently, people, as the primary monitoring targets,have become the most popular objects for detecting or tracking [2, 3]. Naturally, the task of aerial person image re-identification has gained considerable importance.

引用

页码：248 / 250

页数：3

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