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Conference papers

Graph Convolutional Networks Skeleton-based Action Recognition for Continuous Data Stream: A Sliding Window Approach

Mickael Delamare Cyril Laville Adnane Cabani Houcine Chafouk 1, 2, 3
1 ESIGELEC - École Supérieure d’Ingénieurs en Génie Électrique
2 IRSEEM - Institut de Recherche en Systèmes Electroniques Embarqués
3 Pôle Automatique et Systèmes
IRSEEM - Institut de Recherche en Systèmes Electroniques Embarqués
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Conference papers
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https://hal-normandie-univ.archives-ouvertes.fr/hal-03181094
Contributor : Houcine Chafouk Connect in order to contact the contributor
Submitted on : Thursday, March 25, 2021 - 1:59:46 PM
Last modification on : Thursday, March 10, 2022 - 10:46:02 AM

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COMUE-NORMANDIE | TDS-MACS | UNIROUEN | IRSEEM | ESIGELEC

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Mickael Delamare, Cyril Laville, Adnane Cabani, Houcine Chafouk. Graph Convolutional Networks Skeleton-based Action Recognition for Continuous Data Stream: A Sliding Window Approach. 16th International Conference on Computer Vision Theory and Applications, Feb 2021, Online Streaming, Austria. pp.427-435, ⟨10.5220/0010234904270435⟩. ⟨hal-03181094⟩

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