PanoTherm: Panoramic Thermal Imaging for Object Detection and Tracking

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem KonferenzbandBegutachtung

Abstract

Visible-light cameras are used traditionally in object detection and tracking. Thermal imaging can equally be used for this purpose, however at the cost of additional calibration efforts, expenses, and limitations concerning the field of view. Still, thermal imaging is advantageous in various scenarios and basically the only plausible technology to apply in harsh outdoor environments, in which the use of standard RGB cameras is prohibitive due to low-light conditions or in complete darkness. While panoramic imaging using visible light cameras is becoming more popular for advanced photography or action recording, limited work has been done on developing panoramic thermal cameras. In this work, we present the first panoramic thermal camera targeting the constant 360◦ monitoring of the environment. We describe the calibration and stitching process in detail and demonstrate how to use the camera in a vehicular scenario. Finally, we give an example of the detection and tracking of objects and discuss the advantages and disadvantages of thermal imaging for this purpose.

Originalspracheenglisch
TitelProceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
Herausgeber (Verlag)SciTePress
Seiten98-109
Seitenumfang12
Band4, VISAPP
ISBN (elektronisch)978-989-758-679-8
DOIs
PublikationsstatusVeröffentlicht - 2024
Veranstaltung19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications: VISIGRAPP 2024 - Rome, Italien
Dauer: 27 Feb. 202429 Feb. 2024

Konferenz

Konferenz19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
KurztitelVISIGRAPP 2024
Land/GebietItalien
OrtRome
Zeitraum27/02/2429/02/24

ASJC Scopus subject areas

  • Computergrafik und computergestütztes Design
  • Maschinelles Sehen und Mustererkennung
  • Human-computer interaction

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