Colors Perception in Object Detectors

L. Vokorokos, Michal Hulic, Martin Stancel, Martin Knut
{"title":"Colors Perception in Object Detectors","authors":"L. Vokorokos, Michal Hulic, Martin Stancel, Martin Knut","doi":"10.1109/ICETA51985.2020.9379256","DOIUrl":null,"url":null,"abstract":"Detecting objects in computer vision have become very popular these days, especially in self-driving vehicles and autonomous cars. We are proposing a method to enhance this experience by detecting colors, which could also lead in the color perception by robotic systems in the future. First, there are technologies used described in the first section of the paper and then the algorithm itself is introduced with several conducted experiments.","PeriodicalId":149716,"journal":{"name":"2020 18th International Conference on Emerging eLearning Technologies and Applications (ICETA)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 18th International Conference on Emerging eLearning Technologies and Applications (ICETA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICETA51985.2020.9379256","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Detecting objects in computer vision have become very popular these days, especially in self-driving vehicles and autonomous cars. We are proposing a method to enhance this experience by detecting colors, which could also lead in the color perception by robotic systems in the future. First, there are technologies used described in the first section of the paper and then the algorithm itself is introduced with several conducted experiments.
物体检测器中的颜色感知
如今,用计算机视觉检测物体已经变得非常流行,尤其是在自动驾驶汽车和自动驾驶汽车中。我们提出了一种通过检测颜色来增强这种体验的方法,这也可能在未来引领机器人系统的颜色感知。首先,本文第一部分描述了使用的技术,然后通过几个实验介绍了算法本身。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信