Keisuke Yamada, Taito Takeuchi, T. Goto, S. Hirano
{"title":"自动移动轮椅的图像识别","authors":"Keisuke Yamada, Taito Takeuchi, T. Goto, S. Hirano","doi":"10.1109/GCCE.2016.7800358","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a position estimation method utilizing image recognition for an automatic traveling wheelchair. The proposed method includes image magnification to extend the recognition distance and image recognition to estimate the position by utilizing a relationship in which the size of the object in an image is inversely proportional to the distance between the camera and the object. Experimental results show that the proposed method improves the recognition distance and estimates the position accurately.","PeriodicalId":416104,"journal":{"name":"2016 IEEE 5th Global Conference on Consumer Electronics","volume":"64 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Image recognition for automatic traveling wheelchair\",\"authors\":\"Keisuke Yamada, Taito Takeuchi, T. Goto, S. Hirano\",\"doi\":\"10.1109/GCCE.2016.7800358\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose a position estimation method utilizing image recognition for an automatic traveling wheelchair. The proposed method includes image magnification to extend the recognition distance and image recognition to estimate the position by utilizing a relationship in which the size of the object in an image is inversely proportional to the distance between the camera and the object. Experimental results show that the proposed method improves the recognition distance and estimates the position accurately.\",\"PeriodicalId\":416104,\"journal\":{\"name\":\"2016 IEEE 5th Global Conference on Consumer Electronics\",\"volume\":\"64 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE 5th Global Conference on Consumer Electronics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GCCE.2016.7800358\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE 5th Global Conference on Consumer Electronics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GCCE.2016.7800358","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Image recognition for automatic traveling wheelchair
In this paper, we propose a position estimation method utilizing image recognition for an automatic traveling wheelchair. The proposed method includes image magnification to extend the recognition distance and image recognition to estimate the position by utilizing a relationship in which the size of the object in an image is inversely proportional to the distance between the camera and the object. Experimental results show that the proposed method improves the recognition distance and estimates the position accurately.