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...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2017-02-01
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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 |
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. |
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ISSN: | 1682-1750 2194-9034 |