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ORCIDMachine Learning for Human Motion Analysis, 2010
- Liang Wang, Li Cheng
, Guoying Zhao:
Machine Learning for Human Motion Analysis - Theory and Practice. IGI Global 2010, ISBN 978-1-60566-900-7 - Tony Tung, Takashi Matsuyama:
Human Motion Tracking in Video. 1-13 - Olusegun T. Oshin, Andrew Gilbert, John Illingworth, Richard Bowden:
Learning to Recognise Spatio-Temporal Interest Points. 14-30 - Pradeep Natarajan, Ramakant Nevatia:
Graphical Models for Representation and Recognition of Human Actions. 31-54 - Ronald Poppe:
Common Spatial Patterns for Real-Time Classification of Human Actions. 55-73 - Therdsak Tangkuampien, David Suter:
KSM Based Machine Learning for Markerless Motion Capture. 74-106 - Ying-li Tian, Rogério Schmidt Feris, Lisa M. Brown, Daniel A. Vaquero, Yun Zhai, Arun Hampapur:
Multi-Scale People Detection and Motion Analysis for Video Surveillance. 107-132 - Lei Zhang, Jixu Chen, Zhi Zeng, Qiang Ji:
A Generic Framework for 2D and 3D Upper Body Tracking. 133-151 - Vassilis Syrris:
Real-Time Recognition of Basic Human Actions. 152-169 - Konrad Schindler, Luc Van Gool:
Fast Categorisation of Articulated Human Motion. 170-186 - Wanqing Li, Zhengyou Zhang, Zicheng Liu, Philip Ogunbona:
Human Action Recognition with Expandable Graphical Models. 187-212 - Scott Blunsden, Robert B. Fisher:
Detection and Classification of Interacting Persons. 213-227 - Qingdi Wei, Xiaoqin Zhang, Weiming Hu:
Action Recognition. 228-243 - Dong Seon Cheng, Marco Cristani, Vittorio Murino:
Distillation. 244-264
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