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» Learning Switching Linear Models of Human Motion
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ICPR
2008
IEEE
14 years 9 months ago
Hand motion expertise analysis using dynamic hierarchical activity modeling and isomap
Several domains such as sports, surgery, dance etc. are characterized by a significant influence of expertise of the performer on the motion pattern and style. The retrieval of ex...
Kanav Kahol, Mithra Vankipuram
ICRA
2008
IEEE
124views Robotics» more  ICRA 2008»
14 years 2 months ago
Simultaneous learning of motion and sensor model parameters for mobile robots
— Motion and sensor models are crucial components in current algorithms for mobile robot localization and mapping. These models are typically provided and hand-tuned by a human o...
Teddy N. Yap Jr., Christian R. Shelton
CVPR
2006
IEEE
14 years 2 months ago
Learning Joint Top-Down and Bottom-up Processes for 3D Visual Inference
We present an algorithm for jointly learning a consistent bidirectional generative-recognition model that combines top-down and bottom-up processing for monocular 3d human motion ...
Cristian Sminchisescu, Atul Kanaujia, Dimitris N. ...
ICML
2009
IEEE
14 years 8 months ago
Unsupervised hierarchical modeling of locomotion styles
This paper describes an unsupervised learning technique for modeling human locomotion styles, such as distinct related activities (e.g. running and striding) or variations of the ...
Wei Pan, Lorenzo Torresani
KES
2007
Springer
13 years 7 months ago
Adapting robot kinematics for human-arm motion recognition
Abstract. This paper presents a novel method to the analysis of human-arm motion, in particular improving the efficiency of conventional motion recognition algorithms. Contrary to...
Chee Seng Chan, Honghai Liu, David Brown