YOLO model-based target detection algorithm for UAV images

Research Article
Open access

YOLO model-based target detection algorithm for UAV images

Anqi Wei 1*
  • 1 School of Communication & Information Engineering, Shanghai University, Shanghai, 200444, China    
  • *corresponding author waq99@shu.edu.cn
Published on 31 January 2024 | https://doi.org/10.54254/2755-2721/32/20230219
ACE Vol.32
ISSN (Print): 2755-273X
ISSN (Online): 2755-2721
ISBN (Print): 978-1-83558-289-3
ISBN (Online): 978-1-83558-290-9

Abstract

The increasing popularity of drones has paved the way for their utilization in various sectors, including civil, commercial, and government agencies. These unmanned aerial vehicles have proven to be invaluable in capturing images and videos from vantage points that were once difficult to access, leading to a wide range of applications. Images captured by drones often have target objects that are small in the frame and a large number of photos or videos captured, so that it is difficult for people to find the target objects in the photos. Nowadays, target detection of images captured by drones through deep learning methods, such as the YOLO algorithm, can greatly help people's work. In this paper, the authors of this paper have investigated for the last three years, for target detection of UAV images, optimization based on the original YOLO algorithm to achieve improved detection results. The research in this paper summarizes the existing research results and is of great significance to the subsequent research and application of UAV image processing.

Keywords:

yolo, drone image, UAV image, target detection

Wei,A. (2024). YOLO model-based target detection algorithm for UAV images. Applied and Computational Engineering,32,248-252.
Export citation

References

[1]. Li Z, Liu X, Zhao Y, Liu B, Huang Z and Hong R 2021 Journal of Visual Communication and Image Representation 77 103058

[2]. Jiang P, Ergu D, Liu F, Cai Y and Ma B 2022 Procedia Computer Science 199 1066–73

[3]. Silva L A, Leithardt V R Q, Batista V F L, Villarrubia González G and De Paz Santana J F 2023 IEEE Access 11 62918–31

[4]. An J, Putro M D, Priadana A and Jo K-H 2023 2023 IEEE International Conference on Industrial Technology (ICIT) 2023 IEEE International Conference on Industrial Technology (ICIT) (Orlando, FL, USA: IEEE) pp 1–6

[5]. Li Z, Pang C, Dong C and Zeng X 2023 IEEE Access 11 61546–59

[6]. Sahin O and Ozer S 2021 2021 44th International Conference on Telecommunications and Signal Processing (TSP) 2021 44th International Conference on Telecommunications and Signal Processing (TSP) (Brno, Czech Republic: IEEE) pp 361–5

[7]. Kumar S and Kumar C 2023 2023 International Conference for Advancement in Technology (ICONAT) 2023 International Conference for Advancement in Technology (ICONAT) (Goa, India: IEEE) pp 1–5

[8]. Chen W, Jia X, Zhu Zh et al. Computer Engineering and Applications 1-11[2023-07-27].http://kns.cnki.net/kcms/detail/11.2127.TP.20230705.2129.004.html

[9]. Zhang Song Yun. Jiangxi Science 2023 41(02) 339-342+355.DOI:10.13990/j.issn1001-3679.2023.02.020.

[10]. Cheng X, Cao Y, Hu Y et al. Flight Control and Detection 2023 6(01) 80-85.

Cite this article

Wei,A. (2024). YOLO model-based target detection algorithm for UAV images. Applied and Computational Engineering,32,248-252.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

Disclaimer/Publisher's Note

The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of EWA Publishing and/or the editor(s). EWA Publishing and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

About volume

Volume title: Proceedings of the 2023 International Conference on Machine Learning and Automation

ISBN：978-1-83558-289-3(Print) / 978-1-83558-290-9(Online)
Editor：Mustafa İSTANBULLU
Conference website: https://2023.confmla.org/
Conference date: 18 October 2023
Series: Applied and Computational Engineering
Volume number: Vol.32
ISSN：2755-2721(Print) / 2755-273X(Online)

© 2024 by the author(s). Licensee EWA Publishing, Oxford, UK. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license. Authors who publish this series agree to the following terms:
1. Authors retain copyright and grant the series right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this series.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the series's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this series.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See Open access policy for details).

References

[1]. Li Z, Liu X, Zhao Y, Liu B, Huang Z and Hong R 2021 Journal of Visual Communication and Image Representation 77 103058

[2]. Jiang P, Ergu D, Liu F, Cai Y and Ma B 2022 Procedia Computer Science 199 1066–73

[3]. Silva L A, Leithardt V R Q, Batista V F L, Villarrubia González G and De Paz Santana J F 2023 IEEE Access 11 62918–31

[4]. An J, Putro M D, Priadana A and Jo K-H 2023 2023 IEEE International Conference on Industrial Technology (ICIT) 2023 IEEE International Conference on Industrial Technology (ICIT) (Orlando, FL, USA: IEEE) pp 1–6

[5]. Li Z, Pang C, Dong C and Zeng X 2023 IEEE Access 11 61546–59

[6]. Sahin O and Ozer S 2021 2021 44th International Conference on Telecommunications and Signal Processing (TSP) 2021 44th International Conference on Telecommunications and Signal Processing (TSP) (Brno, Czech Republic: IEEE) pp 361–5

[7]. Kumar S and Kumar C 2023 2023 International Conference for Advancement in Technology (ICONAT) 2023 International Conference for Advancement in Technology (ICONAT) (Goa, India: IEEE) pp 1–5

[8]. Chen W, Jia X, Zhu Zh et al. Computer Engineering and Applications 1-11[2023-07-27].http://kns.cnki.net/kcms/detail/11.2127.TP.20230705.2129.004.html

[9]. Zhang Song Yun. Jiangxi Science 2023 41(02) 339-342+355.DOI:10.13990/j.issn1001-3679.2023.02.020.

[10]. Cheng X, Cao Y, Hu Y et al. Flight Control and Detection 2023 6(01) 80-85.

For authors
Guide for authors Policies for authors Aims and scope Subscription Open access policy
For editors
Policies for editors Editorial board
For reviewers
Policies for reviewers Privacy policy

Cookies are used by this site.
Copyright © 2024 EWA Publishing, its licensors, and contributors. All rights reserved, including text and data mining, AI training, and similar technologies.