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NTURGB+D120是一个大型3D人体活动理解数据集，包含106个主题的114,480个RGB+D视频样本，涵盖120种不同的动作类别。 数据集提供了丰富的环境和年龄分. 在本文中，我们介绍了一个大规模的数据集，用于RGB+D人类动作识别，有超过56000个视频样本和400万帧，从40个不同的主题。 A large scale dataset for 3d human activity analysis | ieee conference publication | ieee xplore
本文贡献了两个新基准数据集：NTU RGB+D 数据集用于活动识别，SHREC-2017 数据集用于手势识别。 实验结果表明，POET 方法在持续动作识别任务上取得了显著的性. NTU_RGB+D动作识别数据集由 56880个动作样本 组成，涵盖每个样本的 RGB视频、深度图序列、3D骨架数据和红外视频等。 数据集由3个Microsoft Kinect v.2相机同. We emphasize the difference between rgbd and rgb+d terms
本文介绍了NTU-RGB+D数据集，该数据集含60类动作、56880个样本，由微软Kinect v2传感器采集。 划分训练集和测试集有Cross-Subject和Cross-View两种准则。
"NTU RGB+D 120" 这个版本是上一个版本的补充版，涵盖之前的所有数据，并增加了额外的60个类别，总的样本数目为114,480。 这两个数据集都包含每个样本的.
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