Kinect2 Human Pose Dataset (K2HPD) includes about 100K depth images with various human poses under challenging scenarios. As shown, this dataset consists of 15 body joints of 30 subjects under ten different challenging scenes. The subject is asked to perform both normal daily poses and unusal poses. The human body joints are defined as follows: \emph{Head, Neck, MiddleSpine, RightShoulder, RightElbow, RightHand, LeftShoulder, LeftElbow, LeftHand, RightHip, RightKnee, RightFoot, LeftHip, LeftKnee, LeftFoot.}. The ground truth body joints are firstly estimated via the Kinect SDK, and further refined by active users.

License

中山大学人机物智能融合实验室：

Keze Wang, Shengfu Zhai, Hui Cheng, Xiaodan Liang, and Liang Lin. Human Pose Estimation from Depth Images via Inference Embedded Multi-task Learning. In Proceedings of the ACM International Conference on Multimedia (ACM MM), 2016.