Demo: Tagging iot data in a drone view

Lan Da Van; Chun Hao Chang; Kit Lun Tong; Kun Ru Wu; Ling Yan Zhang; Yu Chee Tseng

doi:10.1145/3300061.3343378

Demo: Tagging iot data in a drone view

Lan Da Van, Chun Hao Chang, Kit Lun Tong, Kun Ru Wu, Ling Yan Zhang^*, Yu Chee Tseng

^*Corresponding author for this work

Research output: Contribution to conference › Paper › peer-review

5 Scopus citations

Abstract

Both 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.

Original language	English
DOIs	https://doi.org/10.1145/3300061.3343378
State	Published - 2019
Event	25th Annual International Conference on Mobile Computing and Networking, MobiCom 2019 - Los Cabos, Mexico Duration: 21 Oct 2019 → 25 Oct 2019

Conference

Conference	25th Annual International Conference on Mobile Computing and Networking, MobiCom 2019
Country/Territory	Mexico
City	Los Cabos
Period	21/10/19 → 25/10/19

Keywords

computer vision
data fusion
drone
iot
people identification

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10.1145/3300061.3343378

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title = "Demo: Tagging iot data in a drone view",

abstract = "Both 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.",

keywords = "computer vision, data fusion, drone, iot, people identification",

author = "Van, {Lan Da} and Chang, {Chun Hao} and Tong, {Kit Lun} and Wu, {Kun Ru} and Zhang, {Ling Yan} and Tseng, {Yu Chee}",

note = "Publisher Copyright: {\textcopyright} 2019 Owner/Author.; 25th Annual International Conference on Mobile Computing and Networking, MobiCom 2019 ; Conference date: 21-10-2019 Through 25-10-2019",

year = "2019",

doi = "10.1145/3300061.3343378",

language = "English",

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TY - CONF

T1 - Demo

T2 - 25th Annual International Conference on Mobile Computing and Networking, MobiCom 2019

AU - Van, Lan Da

AU - Chang, Chun Hao

AU - Tong, Kit Lun

AU - Wu, Kun Ru

AU - Zhang, Ling Yan

AU - Tseng, Yu Chee

PY - 2019

Y1 - 2019

N2 - Both 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.

AB - Both 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.

KW - computer vision

KW - data fusion

KW - drone

KW - iot

KW - people identification

UR - http://www.scopus.com/inward/record.url?scp=85093844970&partnerID=8YFLogxK

U2 - 10.1145/3300061.3343378

DO - 10.1145/3300061.3343378

M3 - Paper

AN - SCOPUS:85093844970

Y2 - 21 October 2019 through 25 October 2019

ER -

Demo: Tagging iot data in a drone view

Abstract

Conference

Keywords

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