GMCC is introduced as a linear-transformation-invariant similarity measure for trajectories, extending the multiple correlation coefficient for use in imitation learning.
Toward accurate dynamic time warping in linear time and space
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2019 2verdicts
UNVERDICTED 2representative citing papers
A pipeline using OpenPose keypoints and DTW-1NN classifies gestures in RGB videos with flexibility to add new classes via few examples.
citing papers explorer
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Generalized Multiple Correlation Coefficient as a Similarity Measurements between Trajectories
GMCC is introduced as a linear-transformation-invariant similarity measure for trajectories, extending the multiple correlation coefficient for use in imitation learning.
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Gesture Recognition in RGB Videos UsingHuman Body Keypoints and Dynamic Time Warping
A pipeline using OpenPose keypoints and DTW-1NN classifies gestures in RGB videos with flexibility to add new classes via few examples.