{"title":"Vehicle flow detection statistic algorithm based on optical flow","authors":"Chen Zhenxue, Wang Guoyou, Liu Chenyun","doi":"10.1109/ISSPIT.2005.1577106","DOIUrl":null,"url":null,"abstract":"This paper presents a method for vehicle flow detection statistic at traffic crossing based on computer vision and image processing. It can effectively use optical flow to detect traffic parameter by analyzing vehicle and scene information extracted from images. The experimental results show that this method is correct and efficient","PeriodicalId":421826,"journal":{"name":"Proceedings of the Fifth IEEE International Symposium on Signal Processing and Information Technology, 2005.","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Fifth IEEE International Symposium on Signal Processing and Information Technology, 2005.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSPIT.2005.1577106","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
This paper presents a method for vehicle flow detection statistic at traffic crossing based on computer vision and image processing. It can effectively use optical flow to detect traffic parameter by analyzing vehicle and scene information extracted from images. The experimental results show that this method is correct and efficient
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