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» Learning Dynamics of Complex Motions from Image Sequences
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ICIP
2007
IEEE
16 years 5 months ago
3D Human Motion Tracking using Manifold Learning
This paper introduces a framework to track 3D human movement using Gaussian process dynamic model (GPDM) and particle filter. The framework combines the particle filter and discri...
Feng Guo, Gang Qian
CVPR
1998
IEEE
16 years 6 months ago
Tracking People with Twists and Exponential Maps
This paper demonstrates a new visual motion estimation technique that is able to recover high degree-of-freedom articulated human body configurations in complex video sequences. W...
Christoph Bregler, Jitendra Malik
ICPR
2006
IEEE
16 years 5 months ago
Variational Multigrid for Fast 3D Interpretation of Image Sequences
We propose a variational multigrid method for fast 3D interpretation of image sequences, in which a dense depth map and 3D motion are directly recovered from spatiotemporal change...
Jong-Sung Kim, Ki-Sang Hong
ICCV
2011
IEEE
14 years 4 months ago
Dynamic Manifold Warping for View Invariant Action Recognition
We address the problem of learning view-invariant 3D models of human motion from motion capture data, in order to recognize human actions from a monocular video sequence with arbi...
Dian Gong, Gerard Medioni
ICIP
1999
IEEE
16 years 5 months ago
Video Motion Capture Using Feature Tracking and Skeleton Reconstruction
In the domain of computer vision, there exists a very wide application for the research of human motion capture. This paper proposes a new approach to do motion capture in video. ...
Xiaoming Liu 0002, Yueting Zhuang, Yunhe Pan