Vehicle tracking by detection in UAV aerial video

被引：0

作者：

Shaohua LIU ^{[1
,2
]}

Suqin WANG ^{[3
]}

Wenhao SHI ^{[3
]}

Haibo LIU ^{[1
]}

Zhaoxin LI ^{[4
]}

Tianlu MAO ^{[4
]}

机构：

[1] School of Electronic Engineering, University of Beijing Posts and Telecommunications

[2] Institute of Electronic and Information Engineering in Guangdong, University of Electronic Science and Technology of China

[3] School of Control and Computer Engineering, North China Electric Power University

[4] Beijing Key Lab of Mobile Computing and Pervasive Device, Institute of Computing Technology,Chinese Academy of Sciences

来源：

Science China(Information Sciences) | 2019年 / 62卷 / 02期

基金：

中国国家自然科学基金;

关键词：

UAV; Vehicle tracking by detection in UAV aerial video;

D O I：

暂无

中图分类号：

U495 [电子计算机在公路运输和公路工程中的应用]; TP391.41 [];

学科分类号：

080203 ; 0838 ;

摘要：

With the maturity and popularity of UAV (unmanned aerial vehicle) technology [1–3], UAV video is becoming an effective supplement to the fixed monitoring video [4, 5]. In the aspect of traffic information acquisition, the advantages of UAV are obvious. UAV can fly not only between the buildings, but also on the freeway, and even into the tunnel, showing the unique flexibility and maneuverability. UAV can control its hovering position artificially and has a high angle shot to get more comprehensive and clearer video data.In some emergent situation, such as evacuation caused by typhoons and earthquakes, there are lots of countryside areas without fixed road monitoring cameras. UAV is undoubtedly the best choice to

引用

页码：192 / 194

页数：3

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