UT-Kinect (UTKinect-Action3D Dataset)
Introduced by Xia et al. in View invariant human action recognition using histograms of 3D joints
The UT-Kinect dataset is a dataset for action recognition from depth sequences. The videos were captured using a single stationary Kinect. There are 10 action types: walk, sit down, stand up, pick up, carry, throw, push, pull, wave hands, clap hands. There are 10 subjects, Each subject performs each actions twice. Three channels were recorded: RGB, depth and skeleton joint locations. The three channel are synchronized. The framerate is 30f/s.
Source: https://cvrc.ece.utexas.edu/KinectDatasets/HOJ3D.htmlBenchmarks
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UT-Kinect
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Temporal Subspace Clustering
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UT-Kinect
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HAMLET
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Papers
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