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» Modeling and recognition of actions through motor primitives
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PERCOM
2003
ACM
14 years 1 months ago
Recognition of Human Activity through Hierarchical Stochastic Learning
Seeking to extend the functional capability of the elderly, we explore the use of probabilistic methods to learn and recognise human activity in order to provide monitoring suppor...
Sebastian Lühr, Hung Hai Bui, Svetha Venkates...
ECCV
2008
Springer
14 years 10 months ago
Latent Pose Estimator for Continuous Action Recognition
Recently, models based on conditional random fields (CRF) have produced promising results on labeling sequential data in several scientific fields. However, in the vision task of c...
Huazhong Ning, Wei Xu, Yihong Gong, Thomas S. Huan...
CVPR
2008
IEEE
14 years 10 months ago
Action recognition using exemplar-based embedding
In this paper, we address the problem of representing human actions using visual cues for the purpose of learning and recognition. Traditional approaches model actions as space-ti...
Daniel Weinland, Edmond Boyer
CVPR
2009
IEEE
14 years 3 months ago
Disambiguating the recognition of 3D objects
We propose novel algorithms for the detection, segmentation, recognition, and pose estimation of threedimensional objects. Our approach initially infers geometric primitives to de...
Gutemberg Guerra-Filho
NN
1998
Springer
102views Neural Networks» more  NN 1998»
13 years 8 months ago
Modeling parietal-premotor interactions in primate control of grasping
Visual information is processed in the posterior parietal cortex for the hypothesized purpose of extracting a variety of affordances for the generation of motor behavior. The term...
Andrew H. Fagg, Michael A. Arbib