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ICIP
2001
IEEE
16 years 2 months ago
Robust estimation of depth and motion using stochastic approximation
The problemof structurefrom motion (SFM)is to extract the three-dimensionalmodel of a moving scene from a sequence of images. Though two images are sufficient to produce a 3D reco...
Rama Chellappa, Amit K. Roy Chowdhury
TOG
2012
208views Communications» more  TOG 2012»
13 years 3 months ago
Video-based 3D motion capture through biped control
Marker-less motion capture is a challenging problem, particularly when only monocular video is available. We estimate human motion from monocular video by recovering three-dimensi...
Marek Vondrak, Leonid Sigal, Jessica K. Hodgins, O...
CVPR
2009
IEEE
3130views Computer Vision» more  CVPR 2009»
16 years 8 months ago
Motion Capture Using Joint Skeleton Tracking and Surface Estimation
This paper proposes a method for capturing the performance of a human or an animal from a multi-view video sequence. Given an articulated template model and silhouettes from a m...
Juergen Gall (BIWI, ETH Zurich), Carsten Stoll (Ma...
ICIP
2007
IEEE
16 years 2 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
ECCV
2006
Springer
16 years 2 months ago
Robust Multi-body Motion Tracking Using Commute Time Clustering
Abstract. The presence of noise renders the classical factorization method almost impractical for real-world multi-body motion tracking problems. The main problem stems from the ef...
Huaijun Qiu, Edwin R. Hancock