完整後設資料紀錄
DC 欄位語言
dc.contributor.authorVan, Lan-Daen_US
dc.contributor.authorChang, Chun-Haoen_US
dc.contributor.authorTong, Kit-Lunen_US
dc.contributor.authorWu, Kun-Ruen_US
dc.contributor.authorZhang, Ling-Yanen_US
dc.contributor.authorTseng, Yu-Cheeen_US
dc.date.accessioned2020-05-05T00:01:58Z-
dc.date.available2020-05-05T00:01:58Z-
dc.date.issued2019-01-01en_US
dc.identifier.isbn978-1-4503-6169-9en_US
dc.identifier.urihttp://dx.doi.org/10.1145/3300061.3343378en_US
dc.identifier.urihttp://hdl.handle.net/11536/154018-
dc.description.abstractBoth cameras and IoT devices have their particular capabilities in tracking moving objects. Their correlations are, however, unclear. In this work, we consider using a drone to track ground objects. We demonstrate how to retrieve IoT data from devices, which are attached on human objects, and correctly tag them on the human objects captured by a drone view. This is the first work correlating IoT data and computer vision from a drone camera. Potential applications of this work include aerial surveillance, people tracking, and intelligent human-drone interaction.en_US
dc.language.isoen_USen_US
dc.subjectdroneen_US
dc.subjectIoTen_US
dc.subjectcomputer visionen_US
dc.subjectpeople identificationen_US
dc.subjectdata fusionen_US
dc.titleDemo: Tagging IoT Data in a Drone Viewen_US
dc.typeProceedings Paperen_US
dc.identifier.doi10.1145/3300061.3343378en_US
dc.identifier.journalMOBICOM'19: PROCEEDINGS OF THE 25TH ANNUAL INTERNATIONAL CONFERENCE ON MOBILE COMPUTING AND NETWORKINGen_US
dc.citation.spage0en_US
dc.citation.epage0en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000521112500042en_US
dc.citation.woscount0en_US
顯示於類別:會議論文