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» Tracking Periodic Motion using Bayesian Estimation
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ICCV
2007
IEEE
16 years 1 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 6 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 6 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 3 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 11 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. ...