Multidirection Object Detection in Aerial View of Traffic Target under Complex Scenes

Focusing on DOTA, the multidirectional object dataset in aerial view of vehicles, CMDTD has been proposed. The reason why it is difficult for applying the general object detection algorithm in multidirectional object detection has been analyzed in this paper. Based on this, the detection principle o...

Full description

Saved in:
Bibliographic Details
Main Authors: Zeqing Zhang, Weiwei Lin, Yuqiang Zheng
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2021/5597168
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832566493269721088
author Zeqing Zhang
Weiwei Lin
Yuqiang Zheng
author_facet Zeqing Zhang
Weiwei Lin
Yuqiang Zheng
author_sort Zeqing Zhang
collection DOAJ
description Focusing on DOTA, the multidirectional object dataset in aerial view of vehicles, CMDTD has been proposed. The reason why it is difficult for applying the general object detection algorithm in multidirectional object detection has been analyzed in this paper. Based on this, the detection principle of CMDTD including its backbone network and multidirectional multi-information detection end module has been studied. In addition, in view of the complexity of the scene faced by aerial view of vehicles, a unique data expansion method is proposed. At last, three datasets have been experimented using the CMDTD algorithm, proving that the cascaded multidirectional object detection algorithm with high effectiveness is superior to other methods.
format Article
id doaj-art-973546378e0a4fbe8fb556ca76c44f58
institution Kabale University
issn 1076-2787
1099-0526
language English
publishDate 2021-01-01
publisher Wiley
record_format Article
series Complexity
spelling doaj-art-973546378e0a4fbe8fb556ca76c44f582025-02-03T01:03:58ZengWileyComplexity1076-27871099-05262021-01-01202110.1155/2021/55971685597168Multidirection Object Detection in Aerial View of Traffic Target under Complex ScenesZeqing Zhang0Weiwei Lin1Yuqiang Zheng2School of Information Science and Engineering, Xiamen University, Xiamen, ChinaSchool of Electronic and Information Engineering, Fujian Polytechnic Normal University, Fuqing, ChinaSchool of Information Science and Engineering, Xiamen University, Xiamen, ChinaFocusing on DOTA, the multidirectional object dataset in aerial view of vehicles, CMDTD has been proposed. The reason why it is difficult for applying the general object detection algorithm in multidirectional object detection has been analyzed in this paper. Based on this, the detection principle of CMDTD including its backbone network and multidirectional multi-information detection end module has been studied. In addition, in view of the complexity of the scene faced by aerial view of vehicles, a unique data expansion method is proposed. At last, three datasets have been experimented using the CMDTD algorithm, proving that the cascaded multidirectional object detection algorithm with high effectiveness is superior to other methods.http://dx.doi.org/10.1155/2021/5597168
spellingShingle Zeqing Zhang
Weiwei Lin
Yuqiang Zheng
Multidirection Object Detection in Aerial View of Traffic Target under Complex Scenes
Complexity
title Multidirection Object Detection in Aerial View of Traffic Target under Complex Scenes
title_full Multidirection Object Detection in Aerial View of Traffic Target under Complex Scenes
title_fullStr Multidirection Object Detection in Aerial View of Traffic Target under Complex Scenes
title_full_unstemmed Multidirection Object Detection in Aerial View of Traffic Target under Complex Scenes
title_short Multidirection Object Detection in Aerial View of Traffic Target under Complex Scenes
title_sort multidirection object detection in aerial view of traffic target under complex scenes
url http://dx.doi.org/10.1155/2021/5597168
work_keys_str_mv AT zeqingzhang multidirectionobjectdetectioninaerialviewoftraffictargetundercomplexscenes
AT weiweilin multidirectionobjectdetectioninaerialviewoftraffictargetundercomplexscenes
AT yuqiangzheng multidirectionobjectdetectioninaerialviewoftraffictargetundercomplexscenes