Skeleton-based action recognition with extreme learning machines

Author:

Chen Xi,Koskela Markus

Funder

Aalto MIDE programme (Project UI-ART) and grants Multimodally Grounded Language Technology

Finnish Center of Excellence in Computational Inference Research COIN

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference40 articles.

1. Gesture recognition;Mitra;IEEE Trans. Syst. Man Cybern. Part C,2007

2. Expandable data-driven graphical modeling of human actions based on salient postures;Li;IEEE Trans. Circuits Syst. Video Technol.,2008

3. M. Müller, T. Röder, Motion templates for automatic classification and retrieval of motion capture data, in: Proceedings of the Eurographics/ACM SIGGRAPH Symposium on Computer Animation, Vienna, Austria, 2006, pp. 137–146.

4. Understanding Motion Capture for Computer Animation and Video Games;Menache,2000

5. J. Shotton, A. Fitzgibbon, M. Cook, T. Sharp, M. Finocchio, R. Moore, A. Kipman, A. Blake, Real-time human pose recognition in parts from single depth images, in: Proceedings of the Computer Vision and Pattern Recognition, June 2011.

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