{"title":"虹膜运动跟踪-使用形状匹配的特征提取","authors":"C. Bernadelli, A. Veiga, E. L. Flôres, M. Pereira","doi":"10.1109/SVR.2011.20","DOIUrl":null,"url":null,"abstract":"This work deals with object tracking, on live video, through the boundary detection by Hough transform and color detection through color maps transform. It is presented an experiment where the trace of human iris is tested and the variations of texture and contour measurements are stored by the tracking, presented and discussed. Furthermore, it is done a breakdown of techniques used and the methodology applied.","PeriodicalId":287558,"journal":{"name":"2011 XIII Symposium on Virtual Reality","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Iris Motion Tracking - Using Feature Extraction by Shape Matching\",\"authors\":\"C. Bernadelli, A. Veiga, E. L. Flôres, M. Pereira\",\"doi\":\"10.1109/SVR.2011.20\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work deals with object tracking, on live video, through the boundary detection by Hough transform and color detection through color maps transform. It is presented an experiment where the trace of human iris is tested and the variations of texture and contour measurements are stored by the tracking, presented and discussed. Furthermore, it is done a breakdown of techniques used and the methodology applied.\",\"PeriodicalId\":287558,\"journal\":{\"name\":\"2011 XIII Symposium on Virtual Reality\",\"volume\":\"51 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-05-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 XIII Symposium on Virtual Reality\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SVR.2011.20\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 XIII Symposium on Virtual Reality","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SVR.2011.20","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Iris Motion Tracking - Using Feature Extraction by Shape Matching
This work deals with object tracking, on live video, through the boundary detection by Hough transform and color detection through color maps transform. It is presented an experiment where the trace of human iris is tested and the variations of texture and contour measurements are stored by the tracking, presented and discussed. Furthermore, it is done a breakdown of techniques used and the methodology applied.
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