{"title":"基于颜色分割和霍夫变换的非侵入性眼球注视方向跟踪","authors":"Dong Liang, Lim Kok Houi","doi":"10.1109/ISCIT.2007.4392089","DOIUrl":null,"url":null,"abstract":"This paper presents a method to detect and track the movement of the eye in a controlled context based on image processing techniques with minimal hardware support. Primary image processing techniques used in this paper are color segmentation and Hough Transform for circle detection. This system is capable of detecting the movement of the eye and its direction with reasonable accuracy.","PeriodicalId":331439,"journal":{"name":"2007 International Symposium on Communications and Information Technologies","volume":"127 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"Non-intrusive eye gaze direction tracking using color segmentation and Hough Transform\",\"authors\":\"Dong Liang, Lim Kok Houi\",\"doi\":\"10.1109/ISCIT.2007.4392089\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a method to detect and track the movement of the eye in a controlled context based on image processing techniques with minimal hardware support. Primary image processing techniques used in this paper are color segmentation and Hough Transform for circle detection. This system is capable of detecting the movement of the eye and its direction with reasonable accuracy.\",\"PeriodicalId\":331439,\"journal\":{\"name\":\"2007 International Symposium on Communications and Information Technologies\",\"volume\":\"127 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-12-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 International Symposium on Communications and Information Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISCIT.2007.4392089\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 International Symposium on Communications and Information Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCIT.2007.4392089","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Non-intrusive eye gaze direction tracking using color segmentation and Hough Transform
This paper presents a method to detect and track the movement of the eye in a controlled context based on image processing techniques with minimal hardware support. Primary image processing techniques used in this paper are color segmentation and Hough Transform for circle detection. This system is capable of detecting the movement of the eye and its direction with reasonable accuracy.