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» Action recognition by learning mid-level motion features
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ICANN
2005
Springer
15 years 3 months ago
Learning Features of Intermediate Complexity for the Recognition of Biological Motion
Humans can recognize biological motion from strongly impoverished stimuli, like point-light displays. Although the neural mechanism underlying this robust perceptual process have n...
Rodrigo Sigala, Thomas Serre, Tomaso Poggio, Marti...
IJCV
2002
219views more  IJCV 2002»
14 years 9 months ago
View-Invariant Representation and Recognition of Actions
Analysis of human perception of motion shows that information for representing the motion is obtained from the dramatic changes in the speed and direction of the trajectory. In thi...
Cen Rao, Alper Yilmaz, Mubarak Shah
PAMI
2010
188views more  PAMI 2010»
14 years 8 months ago
A Unified Probabilistic Framework for Spontaneous Facial Action Modeling and Understanding
—Facial expression is a natural and powerful means of human communication. Recognizing spontaneous facial actions, however, is very challenging due to subtle facial deformation, ...
Yan Tong, Jixu Chen, Qiang Ji
AMDO
2006
Springer
15 years 1 months ago
Shape-Motion Based Athlete Tracking for Multilevel Action Recognition
An automatic human shape-motion analysis method based on a fusion architecture is proposed for human action recognition in videos. Robust shape-motion features are extracted from h...
Costas Panagiotakis, Emmanuel Ramasso, Georgios Tz...
ICCV
2009
IEEE
14 years 7 months ago
Fast realistic multi-action recognition using mined dense spatio-temporal features
Within the field of action recognition, features and descriptors are often engineered to be sparse and invariant to transformation. While sparsity makes the problem tractable, it ...
Andrew Gilbert, John Illingworth, Richard Bowden