Detection of Logos of Moving Vehicles under Complex Lighting Conditions

被引：1
|
作者：
Zhao, Qiang [1 ]
Guo, Wenhao [2 ]
机构：
[1] Suzhou Univ, Sch Environm Sci & Spatial Informat, Suzhou 234000, Peoples R China
[2] Southwest Jiaotong Univ, Fac Geosci & Environm Engn, Chengdu 611756, Peoples R China
来源：
APPLIED SCIENCES-BASEL | 2022年 / 12卷 / 08期
关键词：
logo detection; moving vehicles; complex lighting conditions; NETWORK; IMAGES;
D O I：
10.3390/app12083835
中图分类号：
O6 [化学];
学科分类号：
0703 ;
摘要：
This study proposes a method for vehicle logo detection and recognition to detect missing and inaccurate vehicle marks under complex lighting conditions. For images acquired in complex light conditions, adaptive image enhancement is used to improve the accuracy of car sign detection by more than 2%; for the problems of multi-scale and detection speed of vehicle logo recognition in different images, the paper improves the target detection algorithm to improve the detection accuracy by more than 3%. The adaptive image enhancement algorithm and improved You Only Look One-level Feature (YOLOF) detection algorithm proposed in this study can effectively improve the correct identification rate under complex lighting conditions.
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页数：13
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