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» Moving Vistas: Exploiting Motion for Describing Scenes
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ICCV
2001
IEEE
14 years 9 months ago
Learning Image Statistics for Bayesian Tracking
This paper describes a framework for learning probabilistic models of objects and scenes and for exploiting these models for tracking complex, deformable, or articulated objects i...
Hedvig Sidenbladh, Michael J. Black
IVC
2000
175views more  IVC 2000»
13 years 7 months ago
Uncalibrated Euclidean reconstruction: a review
This paper provides a review on techniques for computing a three-dimensional model of a scene from a single moving camera, with unconstrained motion and unknown parameters. In the...
Andrea Fusiello
ACCV
2006
Springer
14 years 1 months ago
Dense Motion and Disparity Estimation Via Loopy Belief Propagation
We describe a method for computing a dense estimate of motion and disparity, given a stereo video sequence containing moving non-rigid objects. In contrast to previous approaches, ...
Michael Isard, John MacCormick
ICIP
2008
IEEE
14 years 2 months ago
Globally optimal solution to exploit rigidity when recovering structure from motion under occlusion
Widely used SVD-based matrix factorization approaches to the recovery of 3D rigid structure from motion (SFM), require a set of feature points to be visible in a set of images. Wh...
Pedro M. Q. Aguiar, João M. F. Xavier, Mark...
ICIP
1994
IEEE
14 years 9 months ago
Tracking and Counting Moving People
The development of a system able to detect and track moving people is described. Given a sequence of timevarying images, the goal is to count the number of people crossing a count...
M. Rossi, A. Bozzoli