An extension of kernel learning methods using a modified Log-Euclidean distance for fast and accurate skeleton-based Human Action Recognition

GHORBEL, Enjie; Boonaert, Jacques; Boutteau, Rémi; Lecoeuche, Stéphane; Savatier, Xavier

doi:10.1016/j.cviu.2018.09.004

Article (Scientific journals)

An extension of kernel learning methods using a modified Log-Euclidean distance for fast and accurate skeleton-based Human Action Recognition

GHORBEL, Enjie; Boonaert, Jacques; Boutteau, Rémi et al.

2018 • In Computer Vision and Image Understanding, 175, p. 32--43

Peer reviewed

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https://hdl.handle.net/10993/39040

DOI
10.1016/j.cviu.2018.09.004

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Disciplines :

Computer science

Author, co-author :

GHORBEL, Enjie ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)

Boonaert, Jacques

Boutteau, Rémi

Lecoeuche, Stéphane

Savatier, Xavier

External co-authors :

yes

Language :

English

Title :

An extension of kernel learning methods using a modified Log-Euclidean distance for fast and accurate skeleton-based Human Action Recognition

Publication date :

2018

Journal title :

Computer Vision and Image Understanding

Publisher :

Elsevier

Volume :

175

Pages :

32--43

Peer reviewed :

Peer reviewed

Available on ORBilu :

since 14 March 2019

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