{"title":"交通管理摄影机的单参数校正","authors":"F. Cathey, Daniel J. Dailey","doi":"10.1109/ITSC.2004.1399017","DOIUrl":null,"url":null,"abstract":"Assuming a standard pinhole camera model, we show that there is a calibrating \"scale factor\" and a simple formula that relates the change in distance along a line parallel to the highway direction to a change in the image vertical coordinate. Using this scale factor, we can estimate vehicle speeds by tracking vehicle images in successive time-tagged images.","PeriodicalId":239269,"journal":{"name":"Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"One-parameter camera calibration for traffic management cameras\",\"authors\":\"F. Cathey, Daniel J. Dailey\",\"doi\":\"10.1109/ITSC.2004.1399017\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Assuming a standard pinhole camera model, we show that there is a calibrating \\\"scale factor\\\" and a simple formula that relates the change in distance along a line parallel to the highway direction to a change in the image vertical coordinate. Using this scale factor, we can estimate vehicle speeds by tracking vehicle images in successive time-tagged images.\",\"PeriodicalId\":239269,\"journal\":{\"name\":\"Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749)\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-10-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITSC.2004.1399017\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITSC.2004.1399017","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
One-parameter camera calibration for traffic management cameras
Assuming a standard pinhole camera model, we show that there is a calibrating "scale factor" and a simple formula that relates the change in distance along a line parallel to the highway direction to a change in the image vertical coordinate. Using this scale factor, we can estimate vehicle speeds by tracking vehicle images in successive time-tagged images.