Florence3D
Introduced by Lorenzo Seidenari et al. in Recognizing Actions from Depth Cameras as Weakly Aligned Multi-part Bag-of-Poses
The dataset collected at the University of Florence during 2012, has been captured using a Kinect camera. It includes 9 activities: wave, drink from a bottle, answer phone,clap, tight lace, sit down, stand up, read watch, bow. During acquisition, 10 subjects were asked to perform the above actions for 2/3 times. This resulted in a total of 215 activity samples.
Source: https://www.micc.unifi.it/resources/datasets/florence-3d-actions-dataset/Benchmarks
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Florence 3D
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Deep STGC_K
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Papers
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