{"title":"摄像头网络优化:在3D虚拟环境下实现最大覆盖","authors":"N. Bisagno, Cristian Iacovlev","doi":"10.1145/3349801.3357137","DOIUrl":null,"url":null,"abstract":"In this demo, we present a method for optimal video camera positioning. The final objective is to maximize visual coverage in complex indoor environments. Starting from a predefined camera model and environmental setup, we employ a particle swarm optimizer (PSO) to determine the best configuration of the camera network to satisfy our target coverage. The target coverage objectives can vary and depend on realistic factors such as lighting and obstacles.","PeriodicalId":299138,"journal":{"name":"Proceedings of the 13th International Conference on Distributed Smart Cameras","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Camera network optimization: maximize coverage in a 3D virtual environment\",\"authors\":\"N. Bisagno, Cristian Iacovlev\",\"doi\":\"10.1145/3349801.3357137\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this demo, we present a method for optimal video camera positioning. The final objective is to maximize visual coverage in complex indoor environments. Starting from a predefined camera model and environmental setup, we employ a particle swarm optimizer (PSO) to determine the best configuration of the camera network to satisfy our target coverage. The target coverage objectives can vary and depend on realistic factors such as lighting and obstacles.\",\"PeriodicalId\":299138,\"journal\":{\"name\":\"Proceedings of the 13th International Conference on Distributed Smart Cameras\",\"volume\":\"48 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-09-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 13th International Conference on Distributed Smart Cameras\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3349801.3357137\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 13th International Conference on Distributed Smart Cameras","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3349801.3357137","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Camera network optimization: maximize coverage in a 3D virtual environment
In this demo, we present a method for optimal video camera positioning. The final objective is to maximize visual coverage in complex indoor environments. Starting from a predefined camera model and environmental setup, we employ a particle swarm optimizer (PSO) to determine the best configuration of the camera network to satisfy our target coverage. The target coverage objectives can vary and depend on realistic factors such as lighting and obstacles.
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