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106
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CVPR
2004
IEEE
16 years 3 months ago
Visual Tracking Using Learned Linear Subspaces
This paper presents a simple but robust visual tracking algorithm based on representing the appearances of objects using affine warps of learned linear subspaces of the image spac...
Jeffrey Ho, Kuang-Chih Lee, Ming-Hsuan Yang, David...
115
Voted
FGR
2006
IEEE
125views Biometrics» more  FGR 2006»
15 years 8 months ago
Reliable and Fast Tracking of Faces under Varying Pose
This paper presents a system that is able to track multiple faces under varying pose (tilted and rotated) reliably in real-time. The system consists of two interactive modules. Th...
Tao Yang, Stan Z. Li, Quan Pan, Jing Li, Chunhui Z...
118
Voted
ICCCN
2007
IEEE
15 years 2 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
IVC
2008
203views more  IVC 2008»
15 years 1 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
ISPAN
2009
IEEE
15 years 8 months ago
High Speed Articulated Object Tracking Using GPUs: A Particle Filter Approach
—This paper presents a novel application of the GPU processing power to a very computationally demanding articulated human body tracking problem in a view-based approach. This wo...
Raúl Cabido, David Concha, Juan José...