{"title":"一个便宜的,可扩展的,开源的多摄像头跟踪系统:演示摘要","authors":"M. Bal, Javier Yu, Karthik Dantu","doi":"10.1145/3055031.3055046","DOIUrl":null,"url":null,"abstract":"We are developing an extensible, open-source framework that can localize and track rigid bodies using a network of cameras (both RGB and depth). This system is motivated by two design goals - (i) ease of setup, and (ii) ability to be agnostic of individual cameras and recognition algorithms. The goal of this implementation is to be a poor man's motion capture system that can be quickly set up for experimentation and provide accurate 3-D pose of the rigid body and scalable across cameras and the volume of coverage.","PeriodicalId":206082,"journal":{"name":"Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Panoptes : a cheap, extensible, open-source multi-camera tracking system: demo abstract\",\"authors\":\"M. Bal, Javier Yu, Karthik Dantu\",\"doi\":\"10.1145/3055031.3055046\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We are developing an extensible, open-source framework that can localize and track rigid bodies using a network of cameras (both RGB and depth). This system is motivated by two design goals - (i) ease of setup, and (ii) ability to be agnostic of individual cameras and recognition algorithms. The goal of this implementation is to be a poor man's motion capture system that can be quickly set up for experimentation and provide accurate 3-D pose of the rigid body and scalable across cameras and the volume of coverage.\",\"PeriodicalId\":206082,\"journal\":{\"name\":\"Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-04-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3055031.3055046\",\"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 16th ACM/IEEE International Conference on Information Processing in Sensor Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3055031.3055046","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We are developing an extensible, open-source framework that can localize and track rigid bodies using a network of cameras (both RGB and depth). This system is motivated by two design goals - (i) ease of setup, and (ii) ability to be agnostic of individual cameras and recognition algorithms. The goal of this implementation is to be a poor man's motion capture system that can be quickly set up for experimentation and provide accurate 3-D pose of the rigid body and scalable across cameras and the volume of coverage.