{"title":"运动摄像机的运动目标检测与跟踪","authors":"Won Kim, In-So Kweon","doi":"10.1109/URAI.2011.6146005","DOIUrl":null,"url":null,"abstract":"In this paper, we deal multi moving object detection and tracking under moving camera. Moving objects are detected by homography-based motion detection. After moving objects are detected, we apply online-boosting trackers to track moving objects. Because each tracker and detector is measured independently, we integrate two systems into one system. Hence, our algorithm detects and tracks multi moving objects without background modeling. We show experiment results from sequences which are obtained from natural outdoor scene.","PeriodicalId":385925,"journal":{"name":"2011 8th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"Moving object detection and tracking from moving camera\",\"authors\":\"Won Kim, In-So Kweon\",\"doi\":\"10.1109/URAI.2011.6146005\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we deal multi moving object detection and tracking under moving camera. Moving objects are detected by homography-based motion detection. After moving objects are detected, we apply online-boosting trackers to track moving objects. Because each tracker and detector is measured independently, we integrate two systems into one system. Hence, our algorithm detects and tracks multi moving objects without background modeling. We show experiment results from sequences which are obtained from natural outdoor scene.\",\"PeriodicalId\":385925,\"journal\":{\"name\":\"2011 8th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI)\",\"volume\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 8th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/URAI.2011.6146005\",\"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 8th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/URAI.2011.6146005","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Moving object detection and tracking from moving camera
In this paper, we deal multi moving object detection and tracking under moving camera. Moving objects are detected by homography-based motion detection. After moving objects are detected, we apply online-boosting trackers to track moving objects. Because each tracker and detector is measured independently, we integrate two systems into one system. Hence, our algorithm detects and tracks multi moving objects without background modeling. We show experiment results from sequences which are obtained from natural outdoor scene.