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» Multiple parametric motion model estimation and segmentation
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TSMC
2010
14 years 6 months ago
Dual Gait Generative Models for Human Motion Estimation From a Single Camera
This paper presents a general gait representation framework for video-based human motion estimation. Specifically, we want to estimate the kinematics of an unknown gait from image ...
Xin Zhang, Guoliang Fan
BMVC
2010
14 years 9 months ago
Motion Coherent Tracking with Multi-label MRF optimization
We present a novel off-line algorithm for target segmentation and tracking in video. In our approach, video data is represented by a multi-label Markov Random Field model, and seg...
David Tsai, Matthew Flagg, James M. Rehg
TROB
2008
151views more  TROB 2008»
14 years 11 months ago
Inverse Depth Parametrization for Monocular SLAM
Recent work has shown that the probabilistic SLAM approach of explicit uncertainty propagation can succeed in permitting repeatable 3D real-time localization and mapping even in th...
Javier Civera, Andrew J. Davison, J. M. M. Montiel
CVPR
2003
IEEE
16 years 1 months ago
Shape-From-Silhouette of Articulated Objects and its Use for Human Body Kinematics Estimation and Motion Capture
Shape-From-Silhouette (SFS), also known as Visual Hull (VH) construction, is a popular 3D reconstruction method which estimates the shape of an object from multiple silhouette ima...
German K. M. Cheung, Simon Baker, Takeo Kanade
ICCVW
1999
Springer
15 years 3 months ago
Uncertainty Modeling for Optimal Structure from Motion
The parameters estimated by Structure from Motion SFM contain inherent indeterminacies which we call gauge freedoms. Under a perspective camera, shape and motion parameters are o...
Daniel D. Morris, Ken-ichi Kanatani, Takeo Kanade