Human Action Recognition Using Global Point Feature Histograms and Action Shapes-Reference-Cited by-同舟云学术

Human Action Recognition Using Global Point Feature Histograms and Action Shapes

Published:2009-01 Issue:14 Volume:23 Page:1873-1908
ISSN:0169-1864
Container-title:Advanced Robotics
language:en
Short-container-title:Advanced Robotics

Author:

Rusu Radu Bogdan¹,Bandouch Jan²,Meier Franziska³,Essa Irfan⁴,Beetz Michael⁵

Affiliation:

1. a Intelligent Autonomous Systems Group, Technische Universität München, Boltzmannstrasse 3, 85748 Garching bei München, Germany

2. b Intelligent Autonomous Systems Group, Technische Universität München, Boltzmannstrasse 3, 85748 Garching bei München, Germany

3. c Intelligent Autonomous Systems Group, Technische Universität München, Boltzmannstrasse 3, 85748 Garching bei München, Germany; College of Computing, Georgia Institute of Technology, Atlanta, GA 30332, USA

4. d College of Computing, Georgia Institute of Technology, Atlanta, GA 30332, USA

5. e Intelligent Autonomous Systems Group, Technische Universität München, Boltzmannstrasse 3, 85748 Garching bei München, Germany

Publisher

Informa UK Limited

Subject

Computer Science Applications,Hardware and Architecture,Human-Computer Interaction,Software,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1163/016918609X12518783330243

Reference57 articles.

1. Actions as Space-Time Shapes

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