LSI Far Infrared Pedestrian Dataset

The database consists of FIR images collected from a vehicle driven in outdoors urban scenarios. Images were acquired with an Indigo Omega imager, with a resolution of 164x129 pixels, a grey-level scale of 14 bits, and focal length of 318 pixels. The camera was mounted on the exterior of the vehicle, to avoid infrared filtering of the windshield. Recorded images were manually annotated, where each pedestrian is labelled as a bounding box. To prevent bias introduced by border artifacts their height is subsequently upscaled by 5%. The pedestrians appear in an up-right position. The dataset is divided in two: (i) Classification dataset: positives and randomly sampled negatives with a fixed height-width ratio of (1/2) and rescaled to 64x32 pixels, and (ii) Detection Dataset: Original positive and negative images with annotations本数据库收录了在户外城市场景中行驶的车辆采集的远红外（Far Infrared, FIR）图像。所有图像均采用Indigo Omega成像仪采集，分辨率为164×129像素，灰度级为14比特，焦距为318像素。为避免挡风玻璃对红外光线造成过滤，摄像头被安装于车辆外部。采集得到的图像均经过人工标注，每个行人均以边界框（bounding box）标记。为消除边缘伪影引入的偏差，后续将所有标注框的高度提升5%。所有行人样本均呈直立姿态。 本数据集分为两个子集：(i) 分类数据集：包含正样本与按固定宽高比1:2随机采样得到的负样本，所有样本均被缩放至64×32像素；(ii) 检测数据集：保留原始尺寸的正负样本图像，并附带标注信息。

搜集汇总

背景与挑战

背景概述

LSI远红外行人数据集包含从户外城市场景车辆采集的远红外图像，使用Indigo Omega成像仪，分辨率为164x129像素、14位灰度级，图像经手动标注行人边界框并调整高度以减少伪影。数据集分为两部分：分类子集（正负样本固定高宽比重缩放）和检测子集（原始图像及标注），适用于行人分类与检测任务。