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» A Co-inference Approach to Robust Visual Tracking
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IVC
2008
203views more  IVC 2008»
14 years 10 months ago
Multi-modal tracking using texture changes
We present a method for efficiently generating a representation of a multi-modal posterior probability distribution. The technique combines ideas from RANSAC and particle filterin...
Christopher Kemp, Tom Drummond
IROS
2009
IEEE
195views Robotics» more  IROS 2009»
15 years 4 months ago
Appearance contrast for fast, robust trail-following
— We describe a framework for finding and tracking “trails” for autonomous outdoor robot navigation. Through a combination of visual cues and ladar-derived structural inform...
Christopher Rasmussen, Yan Lu, Mehmet Kocamaz
ICRA
2008
IEEE
146views Robotics» more  ICRA 2008»
15 years 4 months ago
Visual servoing based on Gaussian mixture models
— In this paper we present a novel approach to robust visual servoing. This method removes the feature tracking step from a typical visual servoing algorithm. We do not need corr...
A. H. Abdul Hafez, Supreeth Achar, C. V. Jawahar
CVPR
1999
IEEE
15 years 12 months ago
Using the Condensation Algorithm for Robust, Vision-based Mobile Robot Localization
To navigate reliably in indoor environments, a mobile robot must know where it is. This includes both the ability of globally localizing the robot from scratch, as well as trackin...
Frank Dellaert, Wolfram Burgard, Dieter Fox, Sebas...
CVPR
2010
IEEE
15 years 5 months ago
On-line Semi-supervised Multiple-Instance Boosting
A recent dominating trend in tracking called tracking-by-detection uses on-line classifiers in order to redetect objects over succeeding frames. Although these methods usually deli...
Bernhard Zeisl, Christian Leistner, Amir Saffari, ...