Real-time Target Detection System in Scenic Landscape Based on Improved YOLOv4 Algorithm
DOI:
https://doi.org/10.31449/inf.v48i8.5700Abstract
With the rapid development of computer vision technology, the use of real-time target detection systems in scenic landscape management and services is increasingly widespread. To enhance the precision and efficiency of real-time target detection in scenic landscapes, this research integrates the fourth version of the You Only Look Once (YOLO) algorithm to construct an optimized real-time target detection system is introduced for scenic landscapes. First, adaptive spatial feature fusion to enhance the fourth version of the You Only Look Once algorithm. Then, the optimized algorithm was combined with OpenCV library, Python OS library, and other hardware and software to design a real-time image recognition system for scenic landscapes. The study results indicated that the proposed optimized algorithm had better recognition performance, and its precision value, recall rate, and F1 value were as high as 0.96, 0.97, and 0.98, respectively. The recognition system, which was developed using an optimization algorithm, demonstrated excellent practical application effect. It displayed stable system operation under four natural landscapes: sunrise, sea of clouds, maple forest, and stone monument, with a stability performance of 0.92, 0.93, 0.92, and 0.94, respectively. Moreover, the system operated remarkably fast, with low operational times of 2.3 s, 0.8 s, 2.9 s, and 1.2 s under these landscapes. In conclusion, the research institute's target detection algorithm has demonstrated excellent performance. Utilizing this algorithm in the detection system can offer technical aid for managing and intelligently detecting scenic landscape images.References
Dazlee N M A A, Khalil S A, Abdul-Rahman S, Mutalib S. Object detection for autonomous vehicles with sensor-based technology using yolo. International Journal of Intelligent Systems and Applications in Engineering, 2022, 10(1): 129-134.
Atik M E, Duran Z, ÖZGÜNLÜK R. Comparison of YOLO versions for object detection from aerial images. International Journal of Environment and Geoinformatics, 2022, 9(2): 87-93.
Song Y, Xie Z, Wang X, Zou Y. MS-YOLO: Object detection based on YOLOv5 optimized fusion millimeter-wave radar and machine vision. IEEE Sensors Journal, 2022, 22(15): 15435-15447.
Shen X, Sun X, Wang H, Fu X. Multi-dimensional, multi-functional and multi-level attention in YOLO for underwater object detection. Neural Computing and Applications, 2023, 35(27): 19935-19960.
Wibowo S, Sugiarto I. Hand symbol classification for human-computer interaction using the fifth version of YOLO object detection. CommIT (Communication and Information Technology) Journal, 2023, 17(1): 43-50.
Jahani A, Saffariha M, Barzegar P. Landscape aesthetic quality assessment of forest lands: an application of machine learning approach. Soft Computing, 2023, 27(10): 6671-6686.
Peng X, Peng S, Hu Q, Peng J, Wang J, Liu X, Fan J. Contour-enhanced CycleGAN framework for style transfer from scenery photos to Chinese landscape paintings. Neural Computing and Applications, 2022, 34(20): 18075-18096.
Zhou K, Zhang Z, Yuan R, Chen E. A deep learning algorithm for fast motion video sequences based on improved codebook model. Neural Computing and Applications, 2023, 35(6): 4353-4368.
Kikuchi T, Fukuda T, Yabuki N. Diminished reality using semantic segmentation and generative adversarial network for landscape assessment: evaluation of image inpainting according to colour vision. Journal of Computational Design and Engineering, 2022, 9(5): 1633-1649.
Li G, Ji Z, Qu X, Zhou R, Cao D. Cross-domain object detection for autonomous driving: A stepwise domain adaptative YOLO approach. IEEE Transactions on Intelligent Vehicles, 2022, 7(3): 603-615.
Lee J, Hwang K. YOLO with adaptive frame control for real-time object detection applications. Multimedia Tools and Applications, 2022, 81(25): 36375-36396.
Liang S, Wu H, Zhen L, Hua Q, Garg S, Kaddoum G. Edge YOLO: Real-time intelligent object detection system based on edge-cloud cooperation in autonomous vehicles. IEEE Transactions on Intelligent Transportation Systems, 2022, 23(12): 25345-25360.
Huang L, Ye L, Li R, Zhang S, Qu C, Li S. Dynamic human retinal pigment epithelium (RPE) and choroid architecture based on single-cell transcriptomic landscape analysis. Genes and Diseases, 2023, 10(6): 2540-2556.
Wang X, Sun X, Wang Z. Construction of visual evaluation system for building block night scene lighting based on multi-target recognition and data processing. IET Circuits, Devices and Systems, 2023, 17(3): 149-159.
Mehdi G, Hooman H, Liu Y, Peyman S, Arif R. Data mining techniques for web mining: a survey. Artificial Intelligence and Applications, 2022, 1(1): 3-10.
Downloads
Published
How to Cite
Issue
Section
License
I assign to Informatica, An International Journal of Computing and Informatics ("Journal") the copyright in the manuscript identified above and any additional material (figures, tables, illustrations, software or other information intended for publication) submitted as part of or as a supplement to the manuscript ("Paper") in all forms and media throughout the world, in all languages, for the full term of copyright, effective when and if the article is accepted for publication. This transfer includes the right to reproduce and/or to distribute the Paper to other journals or digital libraries in electronic and online forms and systems.
I understand that I retain the rights to use the pre-prints, off-prints, accepted manuscript and published journal Paper for personal use, scholarly purposes and internal institutional use.
In certain cases, I can ask for retaining the publishing rights of the Paper. The Journal can permit or deny the request for publishing rights, to which I fully agree.
I declare that the submitted Paper is original, has been written by the stated authors and has not been published elsewhere nor is currently being considered for publication by any other journal and will not be submitted for such review while under review by this Journal. The Paper contains no material that violates proprietary rights of any other person or entity. I have obtained written permission from copyright owners for any excerpts from copyrighted works that are included and have credited the sources in my article. I have informed the co-author(s) of the terms of this publishing agreement.
Copyright © Slovenian Society Informatika
