PERHAPS 2011
 
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Conference Programme

15:00 - 15:15 Opening
15:10 - 16:00 Keynote: Alonso Patron (Oxford University)
Recognising human actions and interactions in complex scenes
16:00 - 16:30 Oral Session
1. Karthikeyan Shanmuga Vadivel, Utkarsh Gaur, B.S. Manjunath and Scott Grafton.
Probabilistic subspace-based learning of shape dynamics modes for multi-view action recognition
16:30 - 17:00 Coffee Break
17:00 - 18:20 Oral Session 2
2. Wenjuan Gong, Jürgen Brauer, Michael Arens and Jordi Gonzàlez.
Modeling vs. Learning Approaches for Monocular 3D Human Pose Estimation
3. Ehsan Zare Borzeshi, Massimo Piccardi and Richard Yi Da Xu.
A discriminative prototype selection approach for graph embedding in human action recognition
4. Muhammad Shahzad Cheema, Abdalrahman Eweiwi, Christian Thurau and Christian Bauckhage.
Action Recognition by Learning Discriminative Key Poses
18:20 - 19:00 Panel of Experts and Clausure
Chairman: Ahmed Elgammal

In parallel 14:45 - 19:30 Poster session

1p. Abdalrahman Eweiwi, Muhammad Shahzad Cheema, Christian Thurau and Christian Bauckhage.
Temporal Key Poses for Human Action Recognition
2p. Chan-Su Lee, Yui Man Lui and Sung Yong Chun
Human Action Silhouette Recognition Based on Tensor Analysis Using Synthetic Silhouette Data

Accepted papers

Karthikeyan Shanmuga Vadivel, Utkarsh Gaur, B.S. Manjunath and Scott Grafton. Probabilistic subspace-based learning of shape dynamics modes for multi-view action recognitiont
Wenjuan Gong, Jürgen Brauer, Michael Arens and Jordi Gonzàlez. Modeling vs. Learning Approaches for Monocular 3D Human Pose Estimation
Ehsan Zare Borzeshi, Massimo Piccardi and Richard Yi Da Xu. A discriminative prototype selection approach for graph embedding in human action recognition
Muhammad Shahzad Cheema, Abdalrahman Eweiwi, Christian Thurau and Christian Bauckhage. Action Recognition by Learning Discriminative Key Poses
Abdalrahman Eweiwi, Muhammad Shahzad Cheema, Christian Thurau and Christian Bauckhage. Temporal Key Poses for Human Action Recognition
Chan-Su Lee, Yui Man Lui and Sung Yong Chun. Human Action Silhouette Recognition Based on Tensor Analysis Using Synthetic Silhouette Data

Organisation:
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