Article(id=1242137477310390475, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242137460445098003, articleNumber=null, orderNo=12, doi=10.3981/j.issn.1000-7857.2019.06.010, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1537200000000, receivedDateStr=2018-09-18, revisedDate=1543507200000, revisedDateStr=2018-11-30, acceptedDate=null, acceptedDateStr=null, onlineDate=1554799288813, onlineDateStr=2019-04-09, pubDate=1553702400000, pubDateStr=2019-03-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1554799288813, onlineIssueDateStr=2019-04-09, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774078252385, creator=sys-migrate, updateTime=1774078252385, updator=sys-migrate, issue=Issue{id=1242137460445098003, tenantId=1146029695717560320, journalId=1146031591421210625, year='2019', volume='37', issue='6', pageStart='1', pageEnd='128', issueExtLink='null', onlineDate='null', pubDate='1553702400000', pubDateStr='2019-03-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774078248364, creator='sys-migrate', updateTime=1774078248364, updator='sys-migrate', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=73, endPage=83, ext={EN=ArticleExt(id=1242137483283079393, articleId=1242137477310390475, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=Applications of traffic video big data, columnId=1242137471564197995, journalTitle=Science & Technology Review, columnName=Exclusive: Intelligent Transport, runingTitle=null, highlight=null, articleAbstract=The real-time perception of the road network operation in a low-cost way is the key factor to gurantee the transportation safety and the unblocked operation. The rapid and accurate detection of traffic incidents and the collection of traffic data are often difficult. The traditional method is not visual, real-time and cost-effective. In recent years, the development of video big data and artificial intelligence provides a new way to solve these problems. This paper reviews the research history and application limitations of the intelligent video analysis in the field of transportation, as well as the characteristic connotation of video big data, the design of an artificial intelligence platform driven by video big data, and the solution and the application for highway traffic., authors=ZHAO Ying¹, WANG Yatao¹, HUANG Gang², authorsList=ZHAO Ying, WANG Yatao, HUANG Gang, authorCompany=1. Beijing Tongfang Software Co., Ltd., Beijing 100083, China;
2. Tongfang Co., Ltd., Beijing 100083, China, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=XObSVZtwwcfKiiwUVayukA==, pdfFileSize=3993072, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1242137480623890650, articleId=1242137477310390475, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=交通视频大数据应用研究进展, columnId=1242137470704365662, journalTitle=科技导报, columnName=专题：智能交通, runingTitle=null, highlight=null, articleAbstract=通过较为经济的方式实时感知交通路网运行状况是支撑交通安全畅通的基础条件，而交通事件快速准确发现和交通数据及时可靠采集是其中的难点问题。传统的交通事件和交通数据监测采集方式在直观性、时效性、性价比等方面存在不同程度的提升空间。近年来，视频大数据和人工智能的发展，为上述问题的解决提供了新的思路。回顾了智能视频分析在交通领域的研究历史及应用局限，提出了视频大数据的特征内涵，设计了视频大数据驱动的人工智能平台，展示了面向高速交通的解决方案及应用效果。, authors=赵英¹, 王亚涛¹, 黄刚², authorsList=赵英, 王亚涛, 黄刚, authorCompany=1. 北京同方软件股份有限公司, 北京 100083;
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