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» Dependent Multiple Cue Integration for Robust Tracking
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ICIP
2005
IEEE
16 years 7 months ago
A model free hybrid algorithm for real time tracking
Robustness and accuracy are major issues in real-time tracking. This paper describes a reliable tracking for markerless planar objects based on the fusion of visual cues and on th...
Éric Marchand, Muriel Pressigout
CVPR
2006
IEEE
16 years 7 months ago
Robust Fragments-based Tracking using the Integral Histogram
We present a novel algorithm (which we call "FragTrack") for tracking an object in a video sequence. The template object is represented by multiple image fragments or pa...
Amit Adam, Ehud Rivlin, Ilan Shimshoni
FGR
2000
IEEE
163views Biometrics» more  FGR 2000»
15 years 10 months ago
Tracking Interacting People
A computer vision system for tracking multiple people in relatively unconstrained environments is described. Trackerformed at three levels of abstraction: regions, people and grou...
Stephen J. McKenna, Sumer Jabri, Zoran Duric, Harr...
CVPR
2005
IEEE
16 years 7 months ago
Tracking Multiple Mouse Contours (without Too Many Samples)
We present a particle filtering algorithm for robustly tracking the contours of multiple deformable objects through severe occlusions. Our algorithm combines a multiple blob track...
Kristin Branson, Serge Belongie
CG
1999
Springer
15 years 5 months ago
The integration of optical and magnetic tracking for multi-user augmented reality
Multi-user augmented reality systems are especially dependent on precise registration. In this paper, we present a hybrid tracking system that combines optical and magnetic tracki...
Thomas Auer, Axel Pinz