基于红外相机的人体跟踪数据集
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针对目前舞台环境下的多目标跟踪容易受表观相似、目标遮挡、光照复杂等因素影响的问题,本项目构建了基于红外相机的人体跟踪数据集。数据集包含多目标跟踪图像及对应标签(共85,802个文件),内容包括8个数字标记、16个二值环形码标记以及舞台演员,重点关注红外二值圆环码与舞台演员的检测跟踪。数据由演员穿上印有红外标记的服装在红外补光环境下采集,并经过一系列人工操作进行标注和剪裁得到。数据集的数据量约为15.91GB,可用于红外舞台演员检测与跟踪、红外标记检测、分类与跟踪任务,并将有助于红外多目标跟踪技术的发展。
To address the challenges that multi-object tracking in stage environments is frequently impaired by factors including similar target appearance, occlusion, complex illumination, etc., this project develops an infrared camera-based human tracking dataset. The dataset consists of multi-object tracking images and their corresponding labels, with a total of 85,802 files. It includes 8 digital markers, 16 binary annular code markers, and stage performers, with a primary focus on the detection and tracking of infrared binary annular code markers and stage performers. The data was collected by having performers wear garments printed with infrared markers under infrared fill-light conditions, followed by manual annotation and cropping operations. With a total data size of approximately 15.91 GB, this dataset can be applied to infrared stage performer detection and tracking, infrared marker detection, classification and tracking tasks, and will facilitate the advancement of infrared multi-object tracking technologies.




