{"title":"Indoor Location and Idetification of Objects with Video Survillance System and WiFi Module","authors":"D. Grzechca, Tomasz Wrobel, Patryk Bielecki","doi":"10.1109/MCSI.2014.52","DOIUrl":null,"url":null,"abstract":"There is an increasing demand for indoor navigation and localization systems along with increasing popularity of location based services in last years. The paper presents our work in progress for locating indoor objects based on signal fusion. The location is based on two signals: RSSI (Received Signal Strength Indication) and video camera. This paper presents a vision-based system for human detection and tracking in indoor environment using a single static camera. However its accuracy depends on calibration methods and additional sensors. Most of related works used very complex approach of calibration. In this paper actual position is calculated by simple algorithm with fast computing time.","PeriodicalId":202841,"journal":{"name":"2014 International Conference on Mathematics and Computers in Sciences and in Industry","volume":"304 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Mathematics and Computers in Sciences and in Industry","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MCSI.2014.52","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 13
Abstract
There is an increasing demand for indoor navigation and localization systems along with increasing popularity of location based services in last years. The paper presents our work in progress for locating indoor objects based on signal fusion. The location is based on two signals: RSSI (Received Signal Strength Indication) and video camera. This paper presents a vision-based system for human detection and tracking in indoor environment using a single static camera. However its accuracy depends on calibration methods and additional sensors. Most of related works used very complex approach of calibration. In this paper actual position is calculated by simple algorithm with fast computing time.
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