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CVPR
2012
IEEE
13 years 16 days ago
Action bank: A high-level representation of activity in video
Activity recognition in video is dominated by low- and mid-level features, and while demonstrably capable, by nature, these features carry little semantic meaning. Inspired by the...
Sreemanananth Sadanand, Jason J. Corso
KES
1998
Springer
15 years 2 months ago
An acquisition of the relation between vision and action using self-organizing map and reinforcement learning
An agent must acquire internal representation appropriate for its task, environment, sensors. As a learning algorithm, reinforcement learning is often utilized to acquire the rela...
Kazunori Terada, Hideaki Takeda, Toyoaki Nishida
WACV
2008
IEEE
15 years 4 months ago
Human Pose Estimation with Rotated Geometric Blur
We consider the problem of estimating the pose of a human figure in a single image. Our method uses an exemplarmatching framework, where a test image is matched to a database of ...
Bo Chen, Nhan Nguyen, Greg Mori
ECCV
2010
Springer
15 years 3 months ago
Making Action Recognition Robust to Occlusions and Viewpoint Changes
Most state-of-the-art approaches to action recognition rely on global representations either by concatenating local information in a long descriptor vector or by computing a single...
CIARP
2009
Springer
15 years 4 months ago
Learning Relational Grammars from Sequences of Actions
Many tasks can be described by sequences of actions that normally exhibit some form of structure and that can be represented by a grammar. This paper introduces FOSeq, an algorithm...
Blanca Vargas-Govea, Eduardo F. Morales