WooYeol Jun, JeongMok Ha, Byeongchan Jeon, Joonho Lee, Hong Jeong
{"title":"LED交通标志检测具有快速径向对称变换和对称形状检测","authors":"WooYeol Jun, JeongMok Ha, Byeongchan Jeon, Joonho Lee, Hong Jeong","doi":"10.1109/IVS.2015.7225704","DOIUrl":null,"url":null,"abstract":"We present a method that can detect a circular traffic signs and Light Emitting Diode (LED) traffic signs by combining fast radial symmetric transform and a proposed symmetric shape detection method. The proposed method can choose the appropriate size and sign type by computing the confidence of given image to each pre-defined signs, In a real road video that includes LED signs and circular traffic signs, our algorithm scored 94.3 % detection ratio and 0.33 false positive per frame; these results are acceptable in advanced driver assistance systems.","PeriodicalId":294701,"journal":{"name":"2015 IEEE Intelligent Vehicles Symposium (IV)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"LED traffic sign detection with the fast radial symmetric transform and symmetric shape detection\",\"authors\":\"WooYeol Jun, JeongMok Ha, Byeongchan Jeon, Joonho Lee, Hong Jeong\",\"doi\":\"10.1109/IVS.2015.7225704\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present a method that can detect a circular traffic signs and Light Emitting Diode (LED) traffic signs by combining fast radial symmetric transform and a proposed symmetric shape detection method. The proposed method can choose the appropriate size and sign type by computing the confidence of given image to each pre-defined signs, In a real road video that includes LED signs and circular traffic signs, our algorithm scored 94.3 % detection ratio and 0.33 false positive per frame; these results are acceptable in advanced driver assistance systems.\",\"PeriodicalId\":294701,\"journal\":{\"name\":\"2015 IEEE Intelligent Vehicles Symposium (IV)\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-08-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE Intelligent Vehicles Symposium (IV)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IVS.2015.7225704\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE Intelligent Vehicles Symposium (IV)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IVS.2015.7225704","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
LED traffic sign detection with the fast radial symmetric transform and symmetric shape detection
We present a method that can detect a circular traffic signs and Light Emitting Diode (LED) traffic signs by combining fast radial symmetric transform and a proposed symmetric shape detection method. The proposed method can choose the appropriate size and sign type by computing the confidence of given image to each pre-defined signs, In a real road video that includes LED signs and circular traffic signs, our algorithm scored 94.3 % detection ratio and 0.33 false positive per frame; these results are acceptable in advanced driver assistance systems.