Thermal imaging systems for real-time applications in smart cities. (2016)

• Record Type: Journal Article
• Authors: Gade, Rikke; Moeslund, Thomas B.; Nielsen, SÁ¸ren Zebitz; Skov-Petersen, Hans; Andersen, Hans JÁ¸rgen; Basselbjerg, Kent; Dam, Hans Thorhauge; Jensen, Ole B.; JÁ¸rgensen, Anders; Lahrmann, Harry; Madsen, Tanja Kidholm Osmann; Bala, Esben Skouboe; Povey, Bo Á˜.
• Is Part Of: International journal of computer applications technology. Volume 53:Number 4(2016)
• Page Start: 291
• Page End: 308
• Publication Date: 2016
• Subjects: thermal imaging -- people tracking -- people counting -- real-time systems -- smart cities -- mobility -- efficient infrastructure -- environmental sustainability -- quality of life -- intelligent systems -- computer vision -- thermal cameras -- people detection -- traffic safety; Technology -- Data processing -- Periodicals; 620.00285
• Languages: English
• ISSNs: 0952-8091

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 non-invasive 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.