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» Tracking in Reinforcement Learning
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CVPR
2008
IEEE
15 years 11 days ago
Boosting adaptive linear weak classifiers for online learning and tracking
Online boosting methods have recently been used successfully for tracking, background subtraction etc. Conventional online boosting algorithms emphasize on interchanging new weak ...
Toufiq Parag, Fatih Porikli, Ahmed M. Elgammal
CVPR
2006
IEEE
15 years 11 days ago
Modeling Correspondences for Multi-Camera Tracking Using Nonlinear Manifold Learning and Target Dynamics
Multi-camera tracking systems often must maintain consistent identity labels of the targets across views to recover 3D trajectories and fully take advantage of the additional info...
Vlad I. Morariu, Octavia I. Camps
MICCAI
2010
Springer
13 years 8 months ago
Incremental Shape Statistics Learning for Prostate Tracking in TRUS
Abstract. Automatic delineation of the prostate boundary in transrectal ultrasound (TRUS) can play a key role in image-guided prostate intervention. However, it is a very challengi...
Pingkun Yan, Jochen Kruecker
PAMI
2007
245views more  PAMI 2007»
13 years 10 months ago
Tracking People by Learning Their Appearance
—An open vision problem is to automatically track the articulations of people from a video sequence. This problem is difficult because one needs to determine both the number of p...
Deva Ramanan, David A. Forsyth, Andrew Zisserman
ICRA
2009
IEEE
163views Robotics» more  ICRA 2009»
14 years 5 months ago
Markerless human motion tracking with a flexible model and appearance learning
— A new approach to the 3D human motion tracking problem is proposed, which combines several particle filters with a physical simulation of a flexible body model. The flexible...
Florian Hecht, Pedram Azad, Rüdiger Dillmann