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» Algorithmic Fusion for More Robust Feature Tracking
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ICPR
2008
IEEE
14 years 6 months ago
Preceding car tracking using belief functions and a particle filter
This article presents a preceding car rear view tracking algorithm which utilizes a particle filter and belief function data fusion. Most of tracking applications resort to only o...
Christèle Lecomte, John Klein, Pierre Mich&...
CRV
2011
IEEE
268views Robotics» more  CRV 2011»
12 years 4 months ago
Feature Tracking Evaluation for Pose Estimation in Underwater Environments
—In this paper we present the computer vision component of a 6DOF pose estimation algorithm to be used by an underwater robot. Our goal is to evaluate which feature trackers enab...
Florian Shkurti, Ioannis M. Rekleitis, Gregory Dud...
BMVC
2002
13 years 7 months ago
Tightly Integrated Sensor Fusion for Robust Visual Tracking
This paper presents novel methods for increasing the robustness of visual tracking systems by incorporating information from inertial sensors. We show that more can be achieved th...
Georg S. W. Klein, Tom Drummond
ICASSP
2009
IEEE
13 years 2 months ago
Robust Bayesian tracking on Riemannian manifolds via fragments-based representation
Recently, the covariance region descriptor [1] has been proved robust and versatile for a modest computational cost. It enables efficient fusion of different types of features. Ba...
Yi Wu, Jinqiao Wang, Hanqing Lu
MVA
2008
122views Computer Vision» more  MVA 2008»
13 years 4 months ago
Thermo-visual feature fusion for object tracking using multiple spatiogram trackers
In this paper, we propose a framework that can efficiently combine features for robust tracking based on fusing the outputs of multiple spatiogram trackers. This is achieved withou...
Ciarán O Conaire, Noel E. O'Connor, Alan F....