用重心法检测眼状态

2014 Annual IEEE India Conference (INDICON) Pub Date : 2014-12-01 DOI:10.1109/INDICON.2014.7030611

H. B. Mali, S. Lokhande

{"title":"用重心法检测眼状态","authors":"H. B. Mali, S. Lokhande","doi":"10.1109/INDICON.2014.7030611","DOIUrl":null,"url":null,"abstract":"This algorithm aims at detecting the state of the eye whether close or open. The eye is first extracted from an image. Then the extracted eye image is given to algorithm which is dynamic and dimension independent of eye image. The path breaking approach used, is the concept of the center of gravity in image processing to achieve the goal.","PeriodicalId":409794,"journal":{"name":"2014 Annual IEEE India Conference (INDICON)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Eye state detection using center of gravity approach\",\"authors\":\"H. B. Mali, S. Lokhande\",\"doi\":\"10.1109/INDICON.2014.7030611\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This algorithm aims at detecting the state of the eye whether close or open. The eye is first extracted from an image. Then the extracted eye image is given to algorithm which is dynamic and dimension independent of eye image. The path breaking approach used, is the concept of the center of gravity in image processing to achieve the goal.\",\"PeriodicalId\":409794,\"journal\":{\"name\":\"2014 Annual IEEE India Conference (INDICON)\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 Annual IEEE India Conference (INDICON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INDICON.2014.7030611\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 Annual IEEE India Conference (INDICON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INDICON.2014.7030611","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

该算法的目的是检测眼睛的状态，无论是闭还是开。首先从图像中提取眼睛。然后将提取出来的眼睛图像交给与眼睛图像无关的动态算法。采用的路径分解方法，是在图像处理中以重心的概念来实现的目标。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Eye state detection using center of gravity approach

This algorithm aims at detecting the state of the eye whether close or open. The eye is first extracted from an image. Then the extracted eye image is given to algorithm which is dynamic and dimension independent of eye image. The path breaking approach used, is the concept of the center of gravity in image processing to achieve the goal.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2014 Annual IEEE India Conference (INDICON)

自引率

0.00%

发文量