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Analysis of Dance Movements Using Gaussian Processes: Extended Abstract by Antoine Liutkus; Angélique Dremeau; Dimitrios Alexiadis; Slim Essid; Petros Daras is a scholarly article available to read on EtoBox.

What is Analysis of Dance Movements Using Gaussian Processes: Extended Abstract about?

This work addresses the Huawei/3DLife Grand Challenge, presenting a novel method for the analysis of dance movements. The approach focuses on the decomposition of the dance movements into elementary motions. Placing this problem into a probabilistic framework, we propose to exploit Gaussian processes to accurately model the different components of the decomposition. The preliminary results, presented in this paper, are very promising.

Author

Antoine Liutkus; Angélique Dremeau; Dimitrios Alexiadis; Slim Essid; Petros Daras

Publisher

ACM

Published

2012

Language

EN