{"title":"Statistical analysis of ground truth in human labeled data","authors":"Jiang Zhou, F. Vilariño, L. Gérard, Li Xuchun","doi":"10.1109/IMVIP.2007.39","DOIUrl":null,"url":null,"abstract":"Determining the ground truth in human labeled video data is a common challenge in surveillance and medical imaging research work. In this paper we describe four statistical experiments that examine different approaches of determining ground truth in a database of hand washing videos.","PeriodicalId":249544,"journal":{"name":"International Machine Vision and Image Processing Conference (IMVIP 2007)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Machine Vision and Image Processing Conference (IMVIP 2007)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IMVIP.2007.39","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
Determining the ground truth in human labeled video data is a common challenge in surveillance and medical imaging research work. In this paper we describe four statistical experiments that examine different approaches of determining ground truth in a database of hand washing videos.
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