Our paper entitled “A Survey on Infrared Image and Video Sets” has been accepted for publication in the Journal of Multimedia Tools & Applications. This was a part of my student Kevser İrem Danacı’s MSc. thesis. Just like the last sentence of the abstract says, we believe that this survey will be a guideline for computer vision and artificial intelligence researchers that are interested in working with the spectra beyond the visible domain.

Abstract

In this survey, we compile a list of publicly available infrared image and video sets for artificial intelligence and computer vision researchers. We mainly focus on IR image and video sets which are collected and labelled for computer vision applications such as object detection, object segmentation, classification, and motion detection. We categorize 92 different publicly available or private sets according to their sensor types, image resolution, and scale. We describe each and every set in detail regarding their collection purpose, operation environment, optical system properties, and area of application. We also cover a general overview of fundamental concepts that relate to IR imagery, such as IR radiation, IR detectors, IR optics and application fields. We analyse the statistical significance of the entire corpus from different perspectives. We believe that this survey will be a guideline for computer vision and artificial intelligence researchers that are interested in working with the spectra beyond the visible domain.

The official link can be found here: https://link.springer.com/article/…,
and the arXiv preprint is here: https://arxiv.org/abs/2203.08581