{"title":"用匹配追踪法进行道路标志解读","authors":"Chung-Lin Huang, S. Hsu","doi":"10.1109/IAI.2000.839600","DOIUrl":null,"url":null,"abstract":"This paper describes a new automatic road sign interpretation method using matching pursuit (MP) filters. There are two processes. The detection process finds the relative position of the road sign in the original distant image and then extracts the internal content of the road sign from the closer-view image. The recognition process consists of two stages: training and testing. In the first stage, it finds a set of best MP filter bases for each road sign. In the second stage, it projects the input unknown road sign to a different set of the MP filter bases to find the best match.","PeriodicalId":224112,"journal":{"name":"4th IEEE Southwest Symposium on Image Analysis and Interpretation","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Road sign interpretation using matching pursuit method\",\"authors\":\"Chung-Lin Huang, S. Hsu\",\"doi\":\"10.1109/IAI.2000.839600\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes a new automatic road sign interpretation method using matching pursuit (MP) filters. There are two processes. The detection process finds the relative position of the road sign in the original distant image and then extracts the internal content of the road sign from the closer-view image. The recognition process consists of two stages: training and testing. In the first stage, it finds a set of best MP filter bases for each road sign. In the second stage, it projects the input unknown road sign to a different set of the MP filter bases to find the best match.\",\"PeriodicalId\":224112,\"journal\":{\"name\":\"4th IEEE Southwest Symposium on Image Analysis and Interpretation\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-04-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"4th IEEE Southwest Symposium on Image Analysis and Interpretation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IAI.2000.839600\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"4th IEEE Southwest Symposium on Image Analysis and Interpretation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IAI.2000.839600","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Road sign interpretation using matching pursuit method
This paper describes a new automatic road sign interpretation method using matching pursuit (MP) filters. There are two processes. The detection process finds the relative position of the road sign in the original distant image and then extracts the internal content of the road sign from the closer-view image. The recognition process consists of two stages: training and testing. In the first stage, it finds a set of best MP filter bases for each road sign. In the second stage, it projects the input unknown road sign to a different set of the MP filter bases to find the best match.
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