A LOW-COST MARKERLESS TRACKING SYSTEM FOR TRAJECTORY INTERPRETATION

The tracking abilities of 1<sup>st</sup> generation Kinect sensors have been tested over common trajectories of folk dances. Trajectories related errors, including offset, curve shape, noisy points are investigated and mitigated using well-known signal processing filters. Low cost depth...

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Bibliographic Details
Main Authors: A. Laggis, N. Doulamis, E. Protopapadakis, A. Georgopoulos
Format: Article
Language:English
Published: Copernicus Publications 2017-02-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W3/413/2017/isprs-archives-XLII-2-W3-413-2017.pdf
Description
Summary:The tracking abilities of 1<sup>st</sup> generation Kinect sensors have been tested over common trajectories of folk dances. Trajectories related errors, including offset, curve shape, noisy points are investigated and mitigated using well-known signal processing filters. Low cost depth trackers can contribute towards the remote tutoring of folk dances, by providing adequate data to instructors and explicit details to the trainees which segments of their dance trajectories need more work.
ISSN:1682-1750
2194-9034