An extension of kernel learning methods using a modified Log-Euclidean distance for fast and accurate skeleton-based Human Action Recognition - Archive ouverte HAL
Journal Articles Computer Vision and Image Understanding Year : 2018

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

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Artificial Intelligence [cs.AI]
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https://hal.science/hal-01957644

Submitted on : Friday, January 11, 2019-4:22:24 PM

Last modification on : Tuesday, September 17, 2024-3:58:08 PM

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hal-01957644 , version 1 (11-01-2019)

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Enjie Ghorbel, Jacques Boonaert, Rémi Boutteau, Stéphane Lecoeuche, Xavier Savatier. An extension of kernel learning methods using a modified Log-Euclidean distance for fast and accurate skeleton-based Human Action Recognition. Computer Vision and Image Understanding, 2018, 175, pp.32-43. ⟨10.1016/j.cviu.2018.09.004⟩. ⟨hal-01957644⟩

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