Pose estimation for a partially observable human body from RGB-D cameras

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RGB-D datasets using microsoft kinect or similar sensors: a survey (2016, methodology): “The curves under the images are the accelerometer data at 50 Hz of devices attached to the knife, the mixing spoon, the small spoon, the peeler, the glass, the oil bottle, and the pepper dispenser mentioned datasets above, another 26 extra RGB-D datasets for different applications are also added int”
RGBD Datasets: Past, Present and Future (2016, background): “nerable humans in their daily lives. Others are more niche: 50 Salads [98] features over 4 hours of people preparing mixed salads. Four datasets stand out for capturing humans with a full MoCap setup [23,34,83,51], while the Manipulation Action Dataset [1] is unique in providing semantic segmentatio”