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» Learning Deformable Action Templates from Crowded Videos
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ICCV
2009
IEEE
15 years 2 months ago
Action Detection in Complex Scenes with Spatial and Temporal Ambiguities
In this paper, we investigate the detection of semantic human actions in complex scenes. Unlike conventional action recognition in well-controlled environments, action detection...
Yuxiao Hu, Liangliang Cao, Fengjun Lv, Shuicheng Y...
CVPR
2007
IEEE
14 years 11 months ago
Monocular and Stereo Methods for AAM Learning from Video
The active appearance model (AAM) is a powerful method for modeling deformable visual objects. One of the major drawbacks of the AAM is that it requires a training set of pseudo-d...
Jason Saragih, Roland Göcke
GRAPHICSINTERFACE
2011
13 years 1 months ago
Formation sketching: an approach to stylize groups in crowd simulation
Most of existing crowd simulation algorithms focus on the moving trajectories of individual agents, while collective group formations are often roughly learned from video examples...
Qin Gu, Zhigang Deng
CVPR
2009
IEEE
15 years 4 months ago
Max-Margin Hidden Conditional Random Fields for Human Action Recognition
We present a new method for classification with structured latent variables. Our model is formulated using the max-margin formalism in the discriminative learning literature. We...
Yang Wang 0003, Greg Mori
IADIS
2004
13 years 11 months ago
A Proposal for Visualising Learning Materials in A 3D Space
This paper introduces a study, part of a work concerning a tool that enables teachers to create educational materials. Production of such educational materials is based on predefi...
Dominique Deuff, Nicole Devoldère, Isabelle...