基于Citespace的目标跟踪研究热点与前沿趋势

Zixuan Li, Xiaolong Li
{"title":"基于Citespace的目标跟踪研究热点与前沿趋势","authors":"Zixuan Li, Xiaolong Li","doi":"10.1109/ICDSBA53075.2021.00106","DOIUrl":null,"url":null,"abstract":"With the continuous development of artificial intelligence technology, target tracking is a hot problem in the field of computer vision, which has a wide range of application prospects in industrial, military, transportation, medical and other fields. In this paper, Citespace software is used to conduct descriptive statistical analysis and knowledge mapping analysis of target tracking based on domestic CNKI database literature, and to explore the development status and frontier trends in the field of target tracking in China. On this basis, point out three shortcomings of current research: low accuracy of target tracking in complex environments, poor real-time target tracking, and few application directions, and give suggestions to improve algorithm robustness, real-time, accelerate engineering implementation, and focus on future research trends.","PeriodicalId":154348,"journal":{"name":"2021 5th Annual International Conference on Data Science and Business Analytics (ICDSBA)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Target Tracking Research Hotspots and Frontier Trends Based on Citespace\",\"authors\":\"Zixuan Li, Xiaolong Li\",\"doi\":\"10.1109/ICDSBA53075.2021.00106\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the continuous development of artificial intelligence technology, target tracking is a hot problem in the field of computer vision, which has a wide range of application prospects in industrial, military, transportation, medical and other fields. In this paper, Citespace software is used to conduct descriptive statistical analysis and knowledge mapping analysis of target tracking based on domestic CNKI database literature, and to explore the development status and frontier trends in the field of target tracking in China. On this basis, point out three shortcomings of current research: low accuracy of target tracking in complex environments, poor real-time target tracking, and few application directions, and give suggestions to improve algorithm robustness, real-time, accelerate engineering implementation, and focus on future research trends.\",\"PeriodicalId\":154348,\"journal\":{\"name\":\"2021 5th Annual International Conference on Data Science and Business Analytics (ICDSBA)\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 5th Annual International Conference on Data Science and Business Analytics (ICDSBA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDSBA53075.2021.00106\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 5th Annual International Conference on Data Science and Business Analytics (ICDSBA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDSBA53075.2021.00106","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

随着人工智能技术的不断发展,目标跟踪是计算机视觉领域的热点问题,在工业、军事、交通、医疗等领域有着广泛的应用前景。本文基于国内CNKI数据库文献,利用Citespace软件对目标跟踪进行描述性统计分析和知识图谱分析,探讨中国目标跟踪领域的发展现状和前沿趋势。在此基础上,指出当前研究存在的复杂环境下目标跟踪精度低、目标跟踪实时性差、应用方向少三大不足,并提出了提高算法鲁棒性、实时性、加快工程实现、关注未来研究趋势的建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Target Tracking Research Hotspots and Frontier Trends Based on Citespace
With the continuous development of artificial intelligence technology, target tracking is a hot problem in the field of computer vision, which has a wide range of application prospects in industrial, military, transportation, medical and other fields. In this paper, Citespace software is used to conduct descriptive statistical analysis and knowledge mapping analysis of target tracking based on domestic CNKI database literature, and to explore the development status and frontier trends in the field of target tracking in China. On this basis, point out three shortcomings of current research: low accuracy of target tracking in complex environments, poor real-time target tracking, and few application directions, and give suggestions to improve algorithm robustness, real-time, accelerate engineering implementation, and focus on future research trends.
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:604180095
Book学术官方微信