OG RGB+D数据库
收藏arXiv2021-07-20 更新2024-06-21 收录
下载链接：
https://github.com/cvNXE/OG-RGB-D-gait-database
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资源简介：
OG RGB+D数据库是由西北工业大学计算机科学与工程学院综合航空航天海洋大数据应用技术国家工程实验室创建的，专注于步态识别在遮挡条件下的研究。该数据库通过多同步Azure Kinect DK传感器数据采集系统（multi-Kinect SDAS）收集，包含96名受试者的多种遮挡条件下的单步态和多步态数据，总计58752个视频片段。数据库不仅支持模型基础的步态识别方法，也支持外观基础的方法，旨在解决实际应用中步态识别面临的遮挡问题。
The OG RGB+D dataset was created by the School of Computer Science and Engineering, Northwestern Polytechnical University, in conjunction with the National Engineering Laboratory for Integrated Aeronautics, Astronautics and Marine Big Data Application Technology. This dataset focuses on research on gait recognition under occlusion conditions. It is collected via the multi-synchronized Azure Kinect DK sensor data acquisition system (multi-Kinect SDAS), and contains single-gait and multi-gait data of 96 subjects under various occlusion conditions, totaling 58,752 video clips. This dataset not only supports model-based gait recognition methods but also appearance-based ones, aiming to address the occlusion issues faced by gait recognition in real-world applications.
提供机构：
西北工业大学计算机科学与工程学院综合航空航天海洋大数据应用技术国家工程实验室
创建时间：
2021-07-20
