{"title":"基于二值边缘模板的室外环境下目标检测及其在自动起重机中的应用","authors":"S. Kunimitsu, K. Kawabata, H. Asama, T. Mishima","doi":"10.1109/ICIT.2003.1290257","DOIUrl":null,"url":null,"abstract":"The authors propose an expanding technique for template matching to detect the object under the outdoor environment. The edge image is used under the outdoor environment. The template converts the edge image into the binary edge image and the template of the binary edge image is matched to an unknown edge image. As a result, change in the edge image is robust compared with template matching between the edge images. In this paper, the outline of the proposed technique and the effectiveness of that based on the experimental result are shown.","PeriodicalId":193510,"journal":{"name":"IEEE International Conference on Industrial Technology, 2003","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Detection of object under outdoor environment with binary edge template and its application to automatic cranes\",\"authors\":\"S. Kunimitsu, K. Kawabata, H. Asama, T. Mishima\",\"doi\":\"10.1109/ICIT.2003.1290257\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The authors propose an expanding technique for template matching to detect the object under the outdoor environment. The edge image is used under the outdoor environment. The template converts the edge image into the binary edge image and the template of the binary edge image is matched to an unknown edge image. As a result, change in the edge image is robust compared with template matching between the edge images. In this paper, the outline of the proposed technique and the effectiveness of that based on the experimental result are shown.\",\"PeriodicalId\":193510,\"journal\":{\"name\":\"IEEE International Conference on Industrial Technology, 2003\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-12-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE International Conference on Industrial Technology, 2003\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIT.2003.1290257\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE International Conference on Industrial Technology, 2003","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIT.2003.1290257","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Detection of object under outdoor environment with binary edge template and its application to automatic cranes
The authors propose an expanding technique for template matching to detect the object under the outdoor environment. The edge image is used under the outdoor environment. The template converts the edge image into the binary edge image and the template of the binary edge image is matched to an unknown edge image. As a result, change in the edge image is robust compared with template matching between the edge images. In this paper, the outline of the proposed technique and the effectiveness of that based on the experimental result are shown.