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» Tracking Periodic Motion using Bayesian Estimation
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ICCV
2007
IEEE
15 years 12 months ago
A Rank Minimization Approach to Video Inpainting
This paper addresses the problem of video inpainting, that is seamlessly reconstructing missing portions in a set of video frames. We propose to solve this problem proceeding as f...
Tao Ding, Mario Sznaier, Octavia I. Camps
ISBI
2009
IEEE
15 years 4 months ago
Quantitative Validation of Optical Flow Based Myocardial Strain Measures Using Sonomicrometry
Dynamic cardiac metrics, including myocardial strains and displacements, provide a quantitative approach to evaluate cardiac function. However, in current clinical diagnosis, larg...
Qi Duan, Katherine Parker, Auranuch Lorsakul, Elsa...
TIP
2010
141views more  TIP 2010»
14 years 4 months ago
Efficient Particle Filtering via Sparse Kernel Density Estimation
Particle filters (PFs) are Bayesian filters capable of modeling nonlinear, non-Gaussian, and nonstationary dynamical systems. Recent research in PFs has investigated ways to approp...
Amit Banerjee, Philippe Burlina
ECCV
2006
Springer
15 years 1 months ago
A Batch Algorithm for Implicit Non-rigid Shape and Motion Recovery
The recovery of 3D shape and camera motion for non-rigid scenes from single-camera video footage is a very important problem in computer vision. The low-rank shape model consists ...
Adrien Bartoli, Søren I. Olsen
IJCV
2000
162views more  IJCV 2000»
14 years 9 months ago
Visual Surveillance for Moving Vehicles
An overview is given of a novel vision system for locating, recognising and tracking multiple vehicles, using a single monocular camera mounted on a moving vehicle1 . 3D model-bas...
James M. Ferryman, Stephen J. Maybank, Anthony D. ...