Image and Video Dataset for Visually Impaired using Intel Realsense Camera

The Dataset consists of two videos, one recorded with blindfold on and the other without blindfold recorded using a 1080p Intel RealSense depth camera. It contains the videos, images extracted using ffmpeg and processed video which is made of a video with skipped frames created using ffmpeg. The scope of the dataset is for machine vision purposes to allow for tasks such as instance segmentation. A hat fixed on the head of a blindfolded person is used to record walking activities. For the generation of this dataset, we have recorded videos and extracted images with a blindfold to emulate the slower and more careful gait of a visually impaired person.本数据集包含两段视频：一段为佩戴眼罩状态下录制，另一段未佩戴眼罩录制，录制设备为1080P英特尔实感（Intel RealSense）深度相机。数据集涵盖原始视频、通过FFmpeg提取的图像，以及经FFmpeg处理后的抽帧视频。本数据集面向机器视觉（machine vision）应用场景，可支撑实例分割（instance segmentation）等视觉任务。本次采集以头戴固定帽子的蒙眼受试者为拍摄对象，用于记录行走活动数据。在数据集构建过程中，我们通过为受试者佩戴眼罩录制视频并提取图像，以模拟视障人士缓慢且谨慎的行走步态。