{"title":"基于新型图像滤波器的道路交通标志动态图像实时识别","authors":"T. Asakura, Y. Aoyagi, O.K. Hirose","doi":"10.1109/SICE.2000.889645","DOIUrl":null,"url":null,"abstract":"This research is concerned with a new technology for the recognition of traffic sign from a motion picture. In order to realize a real-time position recognition, the genetic algorithm (denoted by GA) with search region limits is proposed. Through experiments, it is shown that new technology is sufficiently valid on real-time recognition to objects of motion picture.","PeriodicalId":254956,"journal":{"name":"SICE 2000. Proceedings of the 39th SICE Annual Conference. International Session Papers (IEEE Cat. No.00TH8545)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"21","resultStr":"{\"title\":\"Real-time recognition of road traffic sign in moving scene image using new image filter\",\"authors\":\"T. Asakura, Y. Aoyagi, O.K. Hirose\",\"doi\":\"10.1109/SICE.2000.889645\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This research is concerned with a new technology for the recognition of traffic sign from a motion picture. In order to realize a real-time position recognition, the genetic algorithm (denoted by GA) with search region limits is proposed. Through experiments, it is shown that new technology is sufficiently valid on real-time recognition to objects of motion picture.\",\"PeriodicalId\":254956,\"journal\":{\"name\":\"SICE 2000. Proceedings of the 39th SICE Annual Conference. International Session Papers (IEEE Cat. No.00TH8545)\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-07-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"21\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"SICE 2000. Proceedings of the 39th SICE Annual Conference. International Session Papers (IEEE Cat. No.00TH8545)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SICE.2000.889645\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"SICE 2000. Proceedings of the 39th SICE Annual Conference. International Session Papers (IEEE Cat. No.00TH8545)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SICE.2000.889645","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Real-time recognition of road traffic sign in moving scene image using new image filter
This research is concerned with a new technology for the recognition of traffic sign from a motion picture. In order to realize a real-time position recognition, the genetic algorithm (denoted by GA) with search region limits is proposed. Through experiments, it is shown that new technology is sufficiently valid on real-time recognition to objects of motion picture.