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» Gaussian Process Dynamical Models for Human Motion
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112
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IJCSS
2006
67views more  IJCSS 2006»
15 years 3 months ago
Recursive Filter Design for Estimating Time Varying Multijoint Human Arm Viscoelasticity
The time varying human multijoint arm dynamics can be modeled by two factors, simplified musculoskeletal dynamics and the uncertainty factor consisting of measurement noises and m...
Mingcong Deng, Akira Inoue, Hiroaki Gomi, Yoichi H...
156
Voted
AMDO
2006
Springer
15 years 7 months ago
Human Motion Synthesis by Motion Manifold Learning and Motion Primitive Segmentation
Abstract. We propose motion manifold learning and motion primitive segmentation framework for human motion synthesis from motion-captured data. High dimensional motion capture date...
Chan-Su Lee, Ahmed M. Elgammal
143
Voted
ICCV
2011
IEEE
14 years 3 months ago
Gaussian Process Regression Flow for Analysis of Motion Trajectories
Recognition of motions and activities of objects in videos requires effective representations for analysis and matching of motion trajectories. In this paper, we introduce a new r...
Kihwan Kim, Dongryeol Lee, Irfan Essa
ICONIP
2009
15 years 1 months ago
Learning Gaussian Process Models from Uncertain Data
It is generally assumed in the traditional formulation of supervised learning that only the outputs data are uncertain. However, this assumption might be too strong for some learni...
Patrick Dallaire, Camille Besse, Brahim Chaib-draa
140
Voted
ICIP
2002
IEEE
15 years 8 months ago
Panoramic capturing and recognition of human activity
This paper presents a unified approach to human activity capturing and recognition. It targets applications such as a speaker walking, turning around, sitting and getting up from ...
Xinding Sun, B. S. Manjunath