Visible light small object detection based on YOLOv5

目标检测 人工智能 计算机视觉 计算机科学 噪音(视频) 数据库扫描 对象(语法) Viola–Jones对象检测框架 聚类分析 弹道 运动检测 模式识别(心理学) 运动(物理) 图像(数学) 物理 人脸检测 树冠聚类算法 相关聚类 面部识别系统 天文
作者
Yuhai Li,Yuntian Liu,Shunhu Hou,Qianlong Qiu,Pengfei Xie,Fan Yi
标识
DOI:10.1117/12.2664562
摘要

The traditional object detection algorithm is difficult to extract its characteristic information due to its own features such as low resolution and small coverage area of small objects, resulting in the inability to achieve effective and reliable recognition accuracy. Aiming at the problem of small object detection, this paper proposes a method of visible light small object detection based on deep learning YOLOv5 algorithm. First of all, a total of 4000 visible light small object dataset is created at noon and low light under the background of sunny and cloudy weather, and then YOLOv5 is used for training, of which the mAP@0.5 of 100 and 200 times are trained to reach about 95% and 96%, respectively. Finally, the 500 pure sky background visible light small object images outside the dataset are tested using the trained model, and the recognition rate in sunny weather reached 99%. However, in cloudy weather, due to the interference of clouds, false detection and missed detection occur, and the recognition rate is about 97%. For the phenomenon of false detection, the moving object detection algorithm are combined to exclude. First of all, a small amount of large particles of pretzel noise is added, combined with the moving object detection algorithm, the motion trajectory is plotted for the continuously moving visible small objects, so as to exclude the noise that is far away from the motion trajectory, the coarse filtration rate reaches 79.5%, and the remaining target point collection is further filtered out by DBSCAN clustering algorithm, and the noise filtering rate can reach 100%.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Dream完成签到 ,获得积分10
1秒前
CQ完成签到 ,获得积分10
1秒前
1秒前
木木发布了新的文献求助10
3秒前
3秒前
4秒前
LXl发布了新的文献求助10
5秒前
anan完成签到 ,获得积分10
5秒前
科研之光发布了新的文献求助10
6秒前
6秒前
乐乐应助笑点低诗双采纳,获得10
10秒前
11秒前
lbyscu完成签到 ,获得积分10
11秒前
谭平发布了新的文献求助10
12秒前
火星仙人掌完成签到 ,获得积分10
12秒前
13秒前
13秒前
李健的小迷弟应助geoman采纳,获得10
15秒前
zhuzi发布了新的文献求助10
15秒前
CHENJIRU发布了新的文献求助10
16秒前
17秒前
shenerqing完成签到,获得积分10
18秒前
追寻的凡松完成签到,获得积分10
19秒前
易水发布了新的文献求助10
20秒前
隐形的飞雪完成签到,获得积分10
22秒前
传奇3应助trace采纳,获得10
22秒前
笑点低诗双完成签到,获得积分10
26秒前
老Mark完成签到,获得积分10
28秒前
科研通AI5应助看文献的狗采纳,获得10
28秒前
30秒前
在水一方应助cc采纳,获得10
30秒前
wzxxxx完成签到,获得积分10
31秒前
31秒前
violet关注了科研通微信公众号
34秒前
白华苍松发布了新的文献求助20
36秒前
Jonas完成签到,获得积分10
36秒前
wzxxxx发布了新的文献求助10
37秒前
钱塘郎中完成签到,获得积分0
37秒前
11111完成签到,获得积分10
38秒前
39秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Les Mantodea de Guyane Insecta, Polyneoptera 1000
Structural Load Modelling and Combination for Performance and Safety Evaluation 1000
Conference Record, IAS Annual Meeting 1977 820
England and the Discovery of America, 1481-1620 600
電気学会論文誌D(産業応用部門誌), 141 巻, 11 号 510
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3572102
求助须知:如何正确求助?哪些是违规求助? 3142380
关于积分的说明 9447398
捐赠科研通 2843806
什么是DOI,文献DOI怎么找? 1563098
邀请新用户注册赠送积分活动 731575
科研通“疑难数据库(出版商)”最低求助积分说明 718603