{"title":"灰度视频序列中背景减法和阴影检测的改进","authors":"Yung-Gi Wu, Chung-Ying Tsai","doi":"10.1109/IMVIP.2007.41","DOIUrl":null,"url":null,"abstract":"Users often select training images from video sequences at random, but it is hard for users to know the correctness of selection for the system. In this paper, we propose a small improvement to select training images, and incorporate a simple technique for foreground detection in grayscale video sequences.","PeriodicalId":249544,"journal":{"name":"International Machine Vision and Image Processing Conference (IMVIP 2007)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"The Improvement of the Background Subtraction and Shadow Detection in Grayscale Video Sequences\",\"authors\":\"Yung-Gi Wu, Chung-Ying Tsai\",\"doi\":\"10.1109/IMVIP.2007.41\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Users often select training images from video sequences at random, but it is hard for users to know the correctness of selection for the system. In this paper, we propose a small improvement to select training images, and incorporate a simple technique for foreground detection in grayscale video sequences.\",\"PeriodicalId\":249544,\"journal\":{\"name\":\"International Machine Vision and Image Processing Conference (IMVIP 2007)\",\"volume\":\"36 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-09-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"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.2007.41\",\"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.2007.41","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Improvement of the Background Subtraction and Shadow Detection in Grayscale Video Sequences
Users often select training images from video sequences at random, but it is hard for users to know the correctness of selection for the system. In this paper, we propose a small improvement to select training images, and incorporate a simple technique for foreground detection in grayscale video sequences.
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