{"title":"色彩空间和直方图距离对视频流中人物再识别的影响","authors":"R. Laptik","doi":"10.1109/ESTREAM.2015.7119489","DOIUrl":null,"url":null,"abstract":"The influence of color spaces and histogram distances on object re-identification in video stream is investigated. Dataset with images of pedestrians is being analyzed. A set of color spaces, histograms types and distance functions is applied to minimize re-identification errors by calculating false acceptance and false rejection error rates.","PeriodicalId":241440,"journal":{"name":"2015 Open Conference of Electrical, Electronic and Information Sciences (eStream)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Color spaces and histogram distances influence on people re-identification in video stream\",\"authors\":\"R. Laptik\",\"doi\":\"10.1109/ESTREAM.2015.7119489\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The influence of color spaces and histogram distances on object re-identification in video stream is investigated. Dataset with images of pedestrians is being analyzed. A set of color spaces, histograms types and distance functions is applied to minimize re-identification errors by calculating false acceptance and false rejection error rates.\",\"PeriodicalId\":241440,\"journal\":{\"name\":\"2015 Open Conference of Electrical, Electronic and Information Sciences (eStream)\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-04-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 Open Conference of Electrical, Electronic and Information Sciences (eStream)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ESTREAM.2015.7119489\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 Open Conference of Electrical, Electronic and Information Sciences (eStream)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ESTREAM.2015.7119489","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Color spaces and histogram distances influence on people re-identification in video stream
The influence of color spaces and histogram distances on object re-identification in video stream is investigated. Dataset with images of pedestrians is being analyzed. A set of color spaces, histograms types and distance functions is applied to minimize re-identification errors by calculating false acceptance and false rejection error rates.