Thun Chitmaitredejsakul, S. Marukatat, S. Thiemjarus, Gun Srijuntongsiri
{"title":"基于来自多个摄像头的3D信息的多个对象监控","authors":"Thun Chitmaitredejsakul, S. Marukatat, S. Thiemjarus, Gun Srijuntongsiri","doi":"10.1109/IEECON.2014.6925888","DOIUrl":null,"url":null,"abstract":"This paper presents an approach for monitoring multiple objects in a room using multiple cameras. The proposed system tracks the objects when they have been picked and placed to a new location in the room. In this approach, a 3D room model is used to analyze the human position as well as targeted objects in the room. The system consists of several modules, namely, 3D room model initialization, foreground extraction, human detection and removal, object detection, object monitoring and management, and background modeling. Experimental results show that the proposed system can accurately monitor objects with reasonable time delay. The limitation and the encountered issues are also reported and discussed.","PeriodicalId":306512,"journal":{"name":"2014 International Electrical Engineering Congress (iEECON)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2014-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Multiple objects monitoring based on 3D information from multiple cameras\",\"authors\":\"Thun Chitmaitredejsakul, S. Marukatat, S. Thiemjarus, Gun Srijuntongsiri\",\"doi\":\"10.1109/IEECON.2014.6925888\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an approach for monitoring multiple objects in a room using multiple cameras. The proposed system tracks the objects when they have been picked and placed to a new location in the room. In this approach, a 3D room model is used to analyze the human position as well as targeted objects in the room. The system consists of several modules, namely, 3D room model initialization, foreground extraction, human detection and removal, object detection, object monitoring and management, and background modeling. Experimental results show that the proposed system can accurately monitor objects with reasonable time delay. The limitation and the encountered issues are also reported and discussed.\",\"PeriodicalId\":306512,\"journal\":{\"name\":\"2014 International Electrical Engineering Congress (iEECON)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-03-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 International Electrical Engineering Congress (iEECON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEECON.2014.6925888\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Electrical Engineering Congress (iEECON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEECON.2014.6925888","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multiple objects monitoring based on 3D information from multiple cameras
This paper presents an approach for monitoring multiple objects in a room using multiple cameras. The proposed system tracks the objects when they have been picked and placed to a new location in the room. In this approach, a 3D room model is used to analyze the human position as well as targeted objects in the room. The system consists of several modules, namely, 3D room model initialization, foreground extraction, human detection and removal, object detection, object monitoring and management, and background modeling. Experimental results show that the proposed system can accurately monitor objects with reasonable time delay. The limitation and the encountered issues are also reported and discussed.