CONFERENCE PROCEEDINGS
Advanced Search
Home > Proceedings > Volume 12921 > Article
Paper
6 November 2023 An object detection method based on YOLOv3 on infrared images
Mingming Zhu, Zongxin Liu, Yulei Zhao, Jun Li, Jingxi Ma
Author Affiliations +
Proceedings Volume 12921, Third International Computing Imaging Conference (CITA 2023); 1292148 (2023) https://doi.org/10.1117/12.2691760
Event: Third International Computing Imaging Conference (CITA 2023), 2023, Sydney, Australia
Abstract
In order to improve the accuracy and speed of object detection on infrared images, an object detection method based on YOLOv3 is proposed. First, the rectangle filling, Mosaic data augmentation and adaptive anchors are used for data preprocessing, which lays the foundation for subsequent network training. Secondly, the convolution calculation layer and the cross stage partial module are used for the lightweight design to achieve high-speed detection while maintaining high-accurate. Then, spatial pyramid pooling is used to improve the learning ability of the network by enhancing the receptive field. Finally, bottom-up path augmentation is used to improve multi-layer feature fusion, which improves the transmission speed and utilization rate of low-level feature information. The experimental results show that the proposed method can detect cars accurately. Compared YOLOv3 methods, the proposed method has higher accuracy and faster speed, which meets the requirements of accurate and rapid detection on infrared images.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Citation Download Citation
Mingming Zhu, Zongxin Liu, Yulei Zhao, Jun Li, and Jingxi Ma "An object detection method based on YOLOv3 on infrared images", Proc. SPIE 12921, Third International Computing Imaging Conference (CITA 2023), 1292148 (6 November 2023); https://doi.org/10.1117/12.2691760
ACCESS THE FULL ARTICLE
ORGANIZATIONAL
Sign in with credentials provided by your organization.
INSTITUTIONAL
Select your institution to access the SPIE Digital Library.
SELECT YOUR INSTITUTION
PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
PERSONAL SIGN IN
No SPIE Account? Create one
PURCHASE THIS CONTENT
SUBSCRIBE TO DIGITAL LIBRARY
50 downloads per 1-year subscription
Members: $195
Non-members: $335 ADD TO CART
25 downloads per 1 - year subscription
Members: $145
Non-members: $250 ADD TO CART
PURCHASE SINGLE ARTICLE
Includes PDF, HTML & Video, when available
Members: $17.00
Non-members: $21.00 ADD TO CART
PROCEEDINGS
 6 PAGES
DOWNLOAD PAPER SAVE TO MY LIBRARY
GET CITATION
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Target detection
Object detection
Infrared detectors
Infrared imaging
Infrared radiation
Deep learning
Machine learning
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top