{"title":"眼睛定位开发基于头部姿势的轮椅界面","authors":"M. Carmel Sobia, S. Menora, A. Abudhahir","doi":"10.1109/MVIP.2012.6428754","DOIUrl":null,"url":null,"abstract":"This paper presents the localization of eyes in facial images representing the different human head postures for the purpose of developing an interface for wheelchair. A user friendly wheelchair interface is advantageous to elderly and disabled people to enhance their mobility. The CIE L*a*b* color space is used for the extraction of the face region. The localization of eyes is achieved by constructing eye map in YCbCr color space and integral projections. On the basis of the positions of the localized facial features, control signals can be generated for the wheelchair, in future. The effectiveness of the algorithm is tested using images obtained from Indian Face Database and the obtained results are promising.","PeriodicalId":170271,"journal":{"name":"2012 International Conference on Machine Vision and Image Processing (MVIP)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Eye localization towards developing a head postures based interface for wheelchair\",\"authors\":\"M. Carmel Sobia, S. Menora, A. Abudhahir\",\"doi\":\"10.1109/MVIP.2012.6428754\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents the localization of eyes in facial images representing the different human head postures for the purpose of developing an interface for wheelchair. A user friendly wheelchair interface is advantageous to elderly and disabled people to enhance their mobility. The CIE L*a*b* color space is used for the extraction of the face region. The localization of eyes is achieved by constructing eye map in YCbCr color space and integral projections. On the basis of the positions of the localized facial features, control signals can be generated for the wheelchair, in future. The effectiveness of the algorithm is tested using images obtained from Indian Face Database and the obtained results are promising.\",\"PeriodicalId\":170271,\"journal\":{\"name\":\"2012 International Conference on Machine Vision and Image Processing (MVIP)\",\"volume\":\"57 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 International Conference on Machine Vision and Image Processing (MVIP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MVIP.2012.6428754\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 International Conference on Machine Vision and Image Processing (MVIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MVIP.2012.6428754","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Eye localization towards developing a head postures based interface for wheelchair
This paper presents the localization of eyes in facial images representing the different human head postures for the purpose of developing an interface for wheelchair. A user friendly wheelchair interface is advantageous to elderly and disabled people to enhance their mobility. The CIE L*a*b* color space is used for the extraction of the face region. The localization of eyes is achieved by constructing eye map in YCbCr color space and integral projections. On the basis of the positions of the localized facial features, control signals can be generated for the wheelchair, in future. The effectiveness of the algorithm is tested using images obtained from Indian Face Database and the obtained results are promising.