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» Tracking in Reinforcement Learning
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ECCV
2010
Springer
14 years 3 months ago
A Stochastic Graph Evolution Framework for Robust Multi-Target Tracking
Maintaining the stability of tracks on multiple targets in video over extended time periods remains a challenging problem. A few methods which have recently shown encouraging resul...
ICALT
2006
IEEE
14 years 4 months ago
Building Learning Networks for Lifelong Learners: Challenges, Models, Technologies and Standards
In this tutorial five key problems are discussed that occur in the area of lifelong learning. For each problem we will look at the possible technological solutions. The five probl...
Rob Koper
CVPR
2010
IEEE
14 years 6 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...
CVPR
2010
IEEE
14 years 7 months ago
Dynamical Binary Latent Variable Models for 3D Human Pose Tracking
We introduce a new class of probabilistic latent variable model called the Implicit Mixture of Conditional Restricted Boltzmann Machines (imCRBM) for use in human pose tracking. K...
Graham Taylor, Leonid Sigal, David Fleet, Geoffrey...
ICPR
2010
IEEE
14 years 4 months ago
On-Line Random Naive Bayes for Tracking
—Randomized learning methods (i.e., Forests or Ferns) have shown excellent capabilities for various computer vision applications. However, it was shown that the tree structure in...
Martin Godec, Christian Leistner, Amir Saffari, Ho...