Abstract

In the modern world, cities need to keep up with the demand for mobility, efficient infrastructure and environmental sustainability. The future smart cities use intelligent information and communication technologies to raise the quality of life. This includes computer vision as one of the main technologies. It can observe and analyse human activities from a distance in a noninvasive manner. Traditional computer vision utilises RGB cameras, but problems with this sensor include its light dependency, and the privacy issues that can be raised by people being observed. In this paper, we propose the use of thermal imaging in real-time smart city applications. Thermal cameras operate independently of light and measure the radiated infrared waves representing the temperature of the scene. In order to showcase the possibilities, we present five different applications which use thermal imaging only. These include both indoor
and outdoor scenarios with the purposes of people detection, counting and tracking, as well as one application for traffic safety evaluation.
Original languageEnglish
JournalInternational Journal of Computer Applications in Technology
Volume53
Issue number4
ISSN0952-8091
DOIs
Publication statusPublished - May 2016

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Infrared imaging
Imaging systems
Computer vision
Cameras
Sustainable development
Infrared radiation
Communication
Sensors
Smart city
Temperature

Cite this

@article{0a236a3a8660456f89f75c8d3563c440,
title = "Thermal Imaging Systems for Real-Time Applications in Smart Cities",
abstract = "In the modern world, cities need to keep up with the demand for mobility, efficient infrastructure and environmental sustainability. The future smart cities use intelligent information and communication technologies to raise the quality of life. This includes computer vision as one of the main technologies. It can observe and analyse human activities from a distance in a noninvasive manner. Traditional computer vision utilises RGB cameras, but problems with this sensor include its light dependency, and the privacy issues that can be raised by people being observed. In this paper, we propose the use of thermal imaging in real-time smart city applications. Thermal cameras operate independently of light and measure the radiated infrared waves representing the temperature of the scene. In order to showcase the possibilities, we present five different applications which use thermal imaging only. These include both indoorand outdoor scenarios with the purposes of people detection, counting and tracking, as well as one application for traffic safety evaluation.",
author = "Rikke Gade and Moeslund, {Thomas B.} and Nielsen, {S{\o}ren Zebitz} and Hans Skov-Petersen and Andersen, {Hans J{\o}rgen} and Kent Basselbjerg and Dam, {Hans Thorhauge} and Jensen, {Ole B.} and Anders J{\o}rgensen and Harry Lahrmann and Madsen, {Tanja Kidholm Osmann} and Skouboe, {Esben Bala} and Povey, {Bo {\O}.}",
year = "2016",
month = "5",
doi = "10.1504/IJCAT.2016.076790",
language = "English",
volume = "53",
journal = "International Journal of Computer Applications in Technology",
issn = "0952-8091",
publisher = "Inderscience Publishers",
number = "4",

}

Thermal Imaging Systems for Real-Time Applications in Smart Cities. / Gade, Rikke; Moeslund, Thomas B.; Nielsen, Søren Zebitz; Skov-Petersen, Hans; Andersen, Hans Jørgen; Basselbjerg, Kent; Dam, Hans Thorhauge; Jensen, Ole B.; Jørgensen, Anders; Lahrmann, Harry; Madsen, Tanja Kidholm Osmann; Skouboe, Esben Bala; Povey, Bo Ø.

In: International Journal of Computer Applications in Technology, Vol. 53, No. 4, 05.2016.

Research output: Contribution to journalJournal articleResearchpeer-review

TY - JOUR

T1 - Thermal Imaging Systems for Real-Time Applications in Smart Cities

AU - Gade, Rikke

AU - Moeslund, Thomas B.

AU - Nielsen, Søren Zebitz

AU - Skov-Petersen, Hans

AU - Andersen, Hans Jørgen

AU - Basselbjerg, Kent

AU - Dam, Hans Thorhauge

AU - Jensen, Ole B.

AU - Jørgensen, Anders

AU - Lahrmann, Harry

AU - Madsen, Tanja Kidholm Osmann

AU - Skouboe, Esben Bala

AU - Povey, Bo Ø.

PY - 2016/5

Y1 - 2016/5

N2 - In the modern world, cities need to keep up with the demand for mobility, efficient infrastructure and environmental sustainability. The future smart cities use intelligent information and communication technologies to raise the quality of life. This includes computer vision as one of the main technologies. It can observe and analyse human activities from a distance in a noninvasive manner. Traditional computer vision utilises RGB cameras, but problems with this sensor include its light dependency, and the privacy issues that can be raised by people being observed. In this paper, we propose the use of thermal imaging in real-time smart city applications. Thermal cameras operate independently of light and measure the radiated infrared waves representing the temperature of the scene. In order to showcase the possibilities, we present five different applications which use thermal imaging only. These include both indoorand outdoor scenarios with the purposes of people detection, counting and tracking, as well as one application for traffic safety evaluation.

AB - In the modern world, cities need to keep up with the demand for mobility, efficient infrastructure and environmental sustainability. The future smart cities use intelligent information and communication technologies to raise the quality of life. This includes computer vision as one of the main technologies. It can observe and analyse human activities from a distance in a noninvasive manner. Traditional computer vision utilises RGB cameras, but problems with this sensor include its light dependency, and the privacy issues that can be raised by people being observed. In this paper, we propose the use of thermal imaging in real-time smart city applications. Thermal cameras operate independently of light and measure the radiated infrared waves representing the temperature of the scene. In order to showcase the possibilities, we present five different applications which use thermal imaging only. These include both indoorand outdoor scenarios with the purposes of people detection, counting and tracking, as well as one application for traffic safety evaluation.

U2 - 10.1504/IJCAT.2016.076790

DO - 10.1504/IJCAT.2016.076790

M3 - Journal article

VL - 53

JO - International Journal of Computer Applications in Technology

JF - International Journal of Computer Applications in Technology

SN - 0952-8091

IS - 4

ER -