Yet Another Computer Vision Index To Datasets (YACVID) - Details

Stand: 2017-04-23 000000m 19:52:50 - Overview

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Name (Institute + Shorttitle)SPHERE human skeleton movements 
Description (include details on usage, files and paper references)The SPHERE human skeleton movements dataset was created using a Kinect camera, that measures distances and provides a depth map of the scene instead of the classic RGB image. A skeleton tracker can use this depth map to fit a skeleton on the person being filmed. We then normalise the skeleton to compensate for people having various heights. This normalised skeleton is the basis of our movement analysis technique.

A skeleton contains 15 joints, forming a vector of 45 coordinates. Such vector has a quite high dimensionality but also redundant information.

For more information, see
http://www.irc-sphere.ac.uk/work-package-2/movement-quality

Adeline Paiement, Lili Tao, Sion Hannuna, Massimo Camplani, Dima Damen, Majid Mirmehdi, Online quality assessment of human movement from skeleton data. BMVC 2014 
URL Linkhttp://www.irc-sphere.ac.uk/work-package-2/movement-quality 
Files (#)19 
References (SKIPPED)
Category (SKIPPED) 
Tags (single words, spaced)human action behavior motion movement video skeleton depth kinect 
Last Changed2017-04-23 
Turing (2.12+3.25=?) :-) 

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