自动目标识别的最新发展趋势分析

Xavier Williams, N. Mahapatra
{"title":"自动目标识别的最新发展趋势分析","authors":"Xavier Williams, N. Mahapatra","doi":"10.1109/CSCI49370.2019.00083","DOIUrl":null,"url":null,"abstract":"Automatic object identification (auto-ID) involves techniques for automatically identifying objects using visual features or tags with unique identification codes. These auto-ID systems then transfer the collected identification information to computer systems for further data management. In this paper, we analyze the existing auto-ID techniques for physically tagged objects.","PeriodicalId":103662,"journal":{"name":"2019 International Conference on Computational Science and Computational Intelligence (CSCI)","volume":"156 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analysis of Recent Trends in Automatic Object Identification\",\"authors\":\"Xavier Williams, N. Mahapatra\",\"doi\":\"10.1109/CSCI49370.2019.00083\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Automatic object identification (auto-ID) involves techniques for automatically identifying objects using visual features or tags with unique identification codes. These auto-ID systems then transfer the collected identification information to computer systems for further data management. In this paper, we analyze the existing auto-ID techniques for physically tagged objects.\",\"PeriodicalId\":103662,\"journal\":{\"name\":\"2019 International Conference on Computational Science and Computational Intelligence (CSCI)\",\"volume\":\"156 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Conference on Computational Science and Computational Intelligence (CSCI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSCI49370.2019.00083\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Computational Science and Computational Intelligence (CSCI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSCI49370.2019.00083","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

自动对象识别(auto-ID)涉及使用具有唯一识别码的视觉特征或标签自动识别对象的技术。然后,这些自动识别系统将收集到的身份信息传输到计算机系统,以便进行进一步的数据管理。在本文中,我们分析了现有的自动识别技术的物理标记的对象。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of Recent Trends in Automatic Object Identification
Automatic object identification (auto-ID) involves techniques for automatically identifying objects using visual features or tags with unique identification codes. These auto-ID systems then transfer the collected identification information to computer systems for further data management. In this paper, we analyze the existing auto-ID techniques for physically tagged objects.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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