{"title":"Analysis of Most Important Parts for Silhouette-Based Gait Recognition","authors":"Y. Pratheepan, J. Condell, G. Prasad","doi":"10.1109/IMVIP.2011.27","DOIUrl":null,"url":null,"abstract":"Many silhouettes based features are proposed for gait recognition. But these methods suffer with covariate factors such as clothing and carrying objects. These covariate factors mostly attached with silhouettes and make gait recognition much difficult. Therefore we proposed a new silhouette based feature to analyse the influence of body parts and increase the recognition rate for individual identification.","PeriodicalId":179414,"journal":{"name":"2011 Irish Machine Vision and Image Processing Conference","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Irish Machine Vision and Image Processing Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IMVIP.2011.27","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Many silhouettes based features are proposed for gait recognition. But these methods suffer with covariate factors such as clothing and carrying objects. These covariate factors mostly attached with silhouettes and make gait recognition much difficult. Therefore we proposed a new silhouette based feature to analyse the influence of body parts and increase the recognition rate for individual identification.
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