Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W3, 413-418, 2017
https://doi.org/10.5194/isprs-archives-XLII-2-W3-413-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
23 Feb 2017
A LOW-COST MARKERLESS TRACKING SYSTEM FOR TRAJECTORY INTERPRETATION
A. Laggis, N. Doulamis, E. Protopapadakis, and A. Georgopoulos Laboratory of Photogrammetry, School of Rural and Surveying Engineering, National Technical University of Athens, Athens, Greece
Keywords: Kinect sensor, Trajectory Estimation, Noise Removal Abstract. The tracking abilities of 1st 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.
Conference paper (PDF, 1270 KB)


Citation: Laggis, A., Doulamis, N., Protopapadakis, E., and Georgopoulos, A.: A LOW-COST MARKERLESS TRACKING SYSTEM FOR TRAJECTORY INTERPRETATION, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W3, 413-418, https://doi.org/10.5194/isprs-archives-XLII-2-W3-413-2017, 2017.

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