基于帧间相似度的交通流统计算法研究

Zhuhui He, Rui Kong, Bing Zhang, Cong Xiao, Zhanhong Gong, Yijian Liu
{"title":"基于帧间相似度的交通流统计算法研究","authors":"Zhuhui He, Rui Kong, Bing Zhang, Cong Xiao, Zhanhong Gong, Yijian Liu","doi":"10.5539/cis.v10n2p30","DOIUrl":null,"url":null,"abstract":"Considering some existing shortcomings in traffic flow statistics algorithm based on background subtraction and virtual loop, according to the change discipline of inter-frame similarity while vehicles passing in and out the virtual loop, we come up with a traffic flow statistics algorithm based on inter - frame similarity, which is able to overcome two problems: one is missed inspection since some detection targets are close to background color; the other one is repeated detection resulting from over-low speed, then we carry out the experimental results by using the algorithm.","PeriodicalId":14676,"journal":{"name":"J. Chem. Inf. Comput. Sci.","volume":"9 1","pages":"30-38"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on Traffic Flow Statistics Algorithm Based on Inter - Frame Similarity\",\"authors\":\"Zhuhui He, Rui Kong, Bing Zhang, Cong Xiao, Zhanhong Gong, Yijian Liu\",\"doi\":\"10.5539/cis.v10n2p30\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Considering some existing shortcomings in traffic flow statistics algorithm based on background subtraction and virtual loop, according to the change discipline of inter-frame similarity while vehicles passing in and out the virtual loop, we come up with a traffic flow statistics algorithm based on inter - frame similarity, which is able to overcome two problems: one is missed inspection since some detection targets are close to background color; the other one is repeated detection resulting from over-low speed, then we carry out the experimental results by using the algorithm.\",\"PeriodicalId\":14676,\"journal\":{\"name\":\"J. Chem. Inf. Comput. Sci.\",\"volume\":\"9 1\",\"pages\":\"30-38\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-04-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"J. Chem. Inf. Comput. Sci.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5539/cis.v10n2p30\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"J. Chem. Inf. Comput. Sci.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5539/cis.v10n2p30","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

针对基于背景减法和虚拟环路的交通流统计算法存在的一些不足,根据车辆进出虚拟环路时帧间相似度的变化规律,提出了基于帧间相似度的交通流统计算法,该算法能够克服两个问题:一是由于部分检测目标与背景颜色接近而漏检;另一个是由于速度过低导致的重复检测,然后利用该算法对实验结果进行验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Traffic Flow Statistics Algorithm Based on Inter - Frame Similarity
Considering some existing shortcomings in traffic flow statistics algorithm based on background subtraction and virtual loop, according to the change discipline of inter-frame similarity while vehicles passing in and out the virtual loop, we come up with a traffic flow statistics algorithm based on inter - frame similarity, which is able to overcome two problems: one is missed inspection since some detection targets are close to background color; the other one is repeated detection resulting from over-low speed, then we carry out the experimental results by using the algorithm.
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