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92
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CRV
2006
IEEE
148views Robotics» more  CRV 2006»
15 years 8 months ago
Autonomous Learning of Object Appearances using Colour Contour Frames
In this paper we make use of the idea that a robot can autonomously discover objects and learn their appearances by poking and prodding at interesting parts of a scene. In order t...
Per-Erik Forssén, Anders Moe
192
Voted
ISMAR
2009
IEEE
15 years 8 months ago
A dataset and evaluation methodology for template-based tracking algorithms
Unlike dense stereo, optical flow or multi-view stereo, templatebased tracking lacks benchmark datasets allowing a fair comparison between state-of-the-art algorithms. Until now,...
Sebastian Lieberknecht, Selim Benhimane, Peter Geo...
ICIP
2006
IEEE
16 years 3 months ago
A Hierarchical ASM/AAM Approach in a Stochastic Framework for Fully Automatic Tracking and Recognition
This paper deals with the fully automatic extraction of classifiable person features out of a video stream with challenging background. Basically the task can be split in two part...
Andre Störmer, Gerhard Rigoll, Sascha Schreib...
ISMAR
2008
IEEE
15 years 8 months ago
Pose tracking from natural features on mobile phones
In this paper we present two techniques for natural feature tracking in real-time on mobile phones. We achieve interactive frame rates of up to 20Hz for natural feature tracking f...
Daniel Wagner, Gerhard Reitmayr, Alessandro Mullon...
149
Voted
CVPR
2009
IEEE
16 years 9 months ago
Visual Tracking with Online Multiple Instance Learning
In this paper, we address the problem of learning an adaptive appearance model for object tracking. In particular, a class of tracking techniques called “tracking by detectionâ...
Boris Babenko, Ming-Hsuan Yang, Serge J. Belongie