Human motion classification using 2D stick-model matching regression coefficients

DOI10.1016/J.AMC.2016.02.032zbMath1410.92017OpenAlexW2299643923MaRDI QIDQ1733404

Xianqiang Yang

Publication date: 21 March 2019

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2016.02.032

zbMATH Keywords

classificationmotion estimationpolynomial fitting2D motionhuman stick model

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Biomechanics (92C10) Computational methods for problems pertaining to biology (92-08)

Uses Software

• WEKA

Cites Work

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• Cell-average multiresolution based on local polynomial regression. application to image processing
• Real-time stylistic prediction for whole-body human motions
• A piecewise polynomial trend against long range dependence
• Using middle level features for robust shape tracking
• Human motion estimation from monocular image sequence based on cross-entropy regularization

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