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ICCV
1999
IEEE
14 years 1 days ago
Bayesian Structure from Motion
:We formulate structure from motion as a Bayesian inference problem, and use a Markov chain Monte Carlo sampler to sample the posterior on this problem. This results in a method th...
David A. Forsyth, Sergey Ioffe, John A. Haddon
CVIU
2008
107views more  CVIU 2008»
13 years 7 months ago
Reducing drift in differential tracking
We present methods for turning pair-wise registration algorithms into drift-free trackers. Such registration algorithms are abundant, but the simplest techniques for building trac...
Ali Rahimi, Louis-Philippe Morency, Trevor Darrell
CVPR
2012
IEEE
11 years 10 months ago
Tracking many vehicles in wide area aerial surveillance
Wide area aerial surveillance data has recently proliferated and increased the demand for multi-object tracking algorithms. However, the limited appearance information on every ta...
Jan Prokaj, Xuemei Zhao, Gérard G. Medioni
CVPR
2010
IEEE
14 years 4 months ago
Visual Object Tracking using Adaptive Correlation Filters
Although not commonly used, correlation filters can track complex objects through rotations, occlusions and other distractions at over 20 times the rate of current state-ofthe-ar...
David Bolme, J Ross Beveridge, Bruce Draper, Yui M...
CVPR
2010
IEEE
14 years 3 months ago
PROST: Parallel Robust Online Simple Tracking
Tracking-by-detection is increasingly popular in order to tackle the visual tracking problem. Existing adaptive methods suffer from the drifting problem, since they rely on selfup...
Jakob Santner, Christian Leistner, Amir Saffari, T...