{"title":"多目标跟踪中的融合增益","authors":"S. Coraluppi, M. Guerriero, C. Carthel","doi":"10.1109/ICIF.2010.5711925","DOIUrl":null,"url":null,"abstract":"This paper introduces an information quality metric and a definition for fusion gain in multi-target tracking systems. We validate the reasonableness of these quantities and illustrate the relationship between fusion gain, scenario difficulty, and tracker effectiveness. The information quality metric is closely related to the information reduction factor, and has direct application to sensor management.","PeriodicalId":341446,"journal":{"name":"2010 13th International Conference on Information Fusion","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Fusion gain in multi-target tracking\",\"authors\":\"S. Coraluppi, M. Guerriero, C. Carthel\",\"doi\":\"10.1109/ICIF.2010.5711925\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper introduces an information quality metric and a definition for fusion gain in multi-target tracking systems. We validate the reasonableness of these quantities and illustrate the relationship between fusion gain, scenario difficulty, and tracker effectiveness. The information quality metric is closely related to the information reduction factor, and has direct application to sensor management.\",\"PeriodicalId\":341446,\"journal\":{\"name\":\"2010 13th International Conference on Information Fusion\",\"volume\":\"48 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-07-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 13th International Conference on Information Fusion\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIF.2010.5711925\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 13th International Conference on Information Fusion","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIF.2010.5711925","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper introduces an information quality metric and a definition for fusion gain in multi-target tracking systems. We validate the reasonableness of these quantities and illustrate the relationship between fusion gain, scenario difficulty, and tracker effectiveness. The information quality metric is closely related to the information reduction factor, and has direct application to sensor management.
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