论文标题
红外图像和视频集的调查
A Survey on Infrared Image and Video Sets
论文作者
论文摘要
在这项调查中，我们汇编了用于人工智能和计算机视觉研究人员的公开红外图像和视频集列表。我们主要关注IR图像和视频集，这些图像和视频集收集并标记为计算机视觉应用，例如对象检测，对象分割，分类和运动检测。我们根据其传感器类型，图像分辨率和比例对92个不同的公开可用或私有集进行分类。我们详细描述了有关其收集目的，操作环境，光学系统属性和应用领域的每一组。我们还介绍了与IR成像有关的基本概念的一般概述，例如IR辐射，IR检测器，IR光学和应用程序领域。我们从不同的角度分析了整个语料库的统计意义。我们认为，这项调查将是有兴趣与可见域之外的光谱合作的计算机视觉和人工智能研究人员的指南。
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.
