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» Dependent Multiple Cue Integration for Robust Tracking
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ICIP
2005
IEEE
15 years 11 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
15 years 11 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 2 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
15 years 11 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
14 years 9 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