{"title":"具有重叠视场的分布式智能摄像机网络的局部图像质量度量","authors":"E. Shen, R. Hornsey","doi":"10.1109/ICDSC.2011.6042920","DOIUrl":null,"url":null,"abstract":"A set of camera selection templates, using simple rules based on a local (camera) level metric, are implemented for a twelve camera inward-looking distributed smart camera network. The local metric represents the quality of detection for a given camera node of the target-of-interest and is based on a measurable target parameter. To understand the effectiveness of the camera selections, an analytical framework consisting of a global (system) level metric has been designed. The camera selection methods are able to maintain a desirable global metric performance while using a subset of the total cameras available. This is true even when the system undergoes perturbation by the loss of a single camera or by a single occluding target.","PeriodicalId":385052,"journal":{"name":"2011 Fifth ACM/IEEE International Conference on Distributed Smart Cameras","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Local image quality metric for a distributed smart camera network with overlapping FOVs\",\"authors\":\"E. Shen, R. Hornsey\",\"doi\":\"10.1109/ICDSC.2011.6042920\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A set of camera selection templates, using simple rules based on a local (camera) level metric, are implemented for a twelve camera inward-looking distributed smart camera network. The local metric represents the quality of detection for a given camera node of the target-of-interest and is based on a measurable target parameter. To understand the effectiveness of the camera selections, an analytical framework consisting of a global (system) level metric has been designed. The camera selection methods are able to maintain a desirable global metric performance while using a subset of the total cameras available. This is true even when the system undergoes perturbation by the loss of a single camera or by a single occluding target.\",\"PeriodicalId\":385052,\"journal\":{\"name\":\"2011 Fifth ACM/IEEE International Conference on Distributed Smart Cameras\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-10-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 Fifth ACM/IEEE International Conference on Distributed Smart Cameras\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDSC.2011.6042920\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Fifth ACM/IEEE International Conference on Distributed Smart Cameras","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDSC.2011.6042920","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Local image quality metric for a distributed smart camera network with overlapping FOVs
A set of camera selection templates, using simple rules based on a local (camera) level metric, are implemented for a twelve camera inward-looking distributed smart camera network. The local metric represents the quality of detection for a given camera node of the target-of-interest and is based on a measurable target parameter. To understand the effectiveness of the camera selections, an analytical framework consisting of a global (system) level metric has been designed. The camera selection methods are able to maintain a desirable global metric performance while using a subset of the total cameras available. This is true even when the system undergoes perturbation by the loss of a single camera or by a single occluding target.