{"title":"人类标记数据中基础真值的统计分析","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":"{\"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}","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}
Statistical analysis of ground truth in human labeled data
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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