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» Algorithmic Fusion for More Robust Feature Tracking
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ECCV
2004
Springer
15 years 3 months ago
Multi-model Component-Based Tracking Using Robust Information Fusion
Abstract. One of the most difficult aspects of visual object tracking is the handling of occlusions and target appearance changes due to variations in illumination and viewing dir...
Bogdan Georgescu, Dorin Comaniciu, Tony X. Han, Xi...
TREC
2001
14 years 11 months ago
More Reflections on "Aboutness" TREC-2001 Evaluation Experiments at Justsystem
The TREC-2001 Web track evaluation experiments at the Justsystem site are described with a focus on the "aboutness" based approach in text retrieval. In the web ad hoc t...
Sumio Fujita
ECCV
2006
Springer
14 years 11 months ago
Robust Head Tracking with Particles Based on Multiple Cues Fusion
This paper presents a fully automatic and highly robust head tracking algorithm based on the latest advances in real-time multi-view face detection techniques and multiple cues fus...
Yuan Li, Haizhou Ai, Chang Huang, Shihong Lao
ICCCN
2007
IEEE
14 years 9 months ago
Online Selection of Tracking Features using AdaBoost
In this paper, a novel feature selection algorithm for object tracking is proposed. This algorithm performs more robust than the previous works by taking the correlation between f...
Ying-Jia Yeh, Chiou-Ting Hsu
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