Florence 3D actions dataset

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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.

Note: the dataset can be freely downloaded and used for research (no-profit) purposes. Publications that use this dataset must reference the following work: L. Seidenari, V. Varano, S. Berretti, A. Del Bimbo, P. Pala. “Recognizing Actions from Depth Cameras as Weakly Aligned Multi-Part Bag-of-Poses”, 3rd International Workshop on Human Activity Understanding from 3D data (HAU3D’13), in conjunction with CVPR 2013, Portland, Oregon, June 24, 2013.

Florence 3D Actions Dataset: man moving in front of the Kinect skeleton tracker

Florence 3D Actions Dataset

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