3D skeleton-based action recognition by representing motion capture sequences as 2D-RGB images-Reference-Cited by-同舟云学术

3D skeleton-based action recognition by representing motion capture sequences as 2D-RGB images

Published:2017-05 Issue:3-4 Volume:28 Page:e1782
ISSN:1546-4261
Container-title:Computer Animation and Virtual Worlds
language:en
Short-container-title:Comp. Anim. Virtual Worlds

Author:

Laraba Sohaib¹^ORCID,Brahimi Mohammed²³^ORCID,Tilmanne Joëlle¹,Dutoit Thierry¹

Affiliation:

1. TCTS Lab, Numediart Institute; University of Mons; Mons Belgium

2. Department of Computer Science; USTHB University; Algiers Algeria

3. Department of Computer Science; Mohamed El Bachir El Ibrahimi University; Bordj Bou Arreridj Algeria

Funder

Numediart and Infortech of the University of Mons (UMONS)

Seventh Framework Programme

Wallonia

Publisher

Wiley

Subject

Computer Graphics and Computer-Aided Design,Software

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/cav.1782/fullpdf

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3. Vemulapalli R Arrate F Chellappa R Human action recognition by representing 3D skeletons as points in a lie group 2014 Columbus, OH, USA 588 595

4. Gowayyed MA Torki M Hussein ME El-Saban M Histogram of oriented displacements (HOD): Describing trajectories of human joints for action recognition 2013

5. Xia L Chen C-C Aggarwal JK View invariant human action recognition using histograms of 3D joints IEEE 2012 Providence, RI, USA 20 27

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