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133
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ICIP
2005
IEEE
16 years 4 months ago
Visual tracking via efficient kernel discriminant subspace learning
Robustly tracking moving objects in video sequences is one of the key problems in computer vision. In this paper we introduce a computationally efficient nonlinear kernel learning...
Chunhua Shen, Anton van den Hengel, Michael J. Bro...
150
Voted
ICIP
2007
IEEE
16 years 4 months ago
Hierarchical Feature Fusion for Visual Tracking
A new method for object tracking in video sequences is presented. This method exploits the benefits of particle filters to tackle the multimodal distributions emerging from clutte...
Alexandros Makris, Dimitrios I. Kosmopoulos, Stavr...
142
Voted
DICTA
2007
15 years 4 months ago
Visual Tracking Based on Color Kernel Densities of Spatial Awareness
We propose a kernel-density based scheme that incorporates the object colors with their spatial relevance to track the object in a video sequence. The object is modeled by the col...
Zhuan Qing Huang, Zhuhan Jiang
147
Voted
ICRA
2010
IEEE
145views Robotics» more  ICRA 2010»
15 years 1 months ago
Visual odometry priors for robust EKF-SLAM
— One of the main drawbacks of standard visual EKF-SLAM techniques is the assumption of a general camera motion model. Usually this motion model has been implemented in the liter...
Pablo Fernández Alcantarilla, Luis Miguel B...
122
Voted
CVPR
2008
IEEE
16 years 4 months ago
Modeling complex luminance variations for target tracking
Lambert's model is widely used in low level computer vision algorithms such as matching, tracking or optical flow computation for example. However, it is well known that thes...
Éric Marchand, Christophe Collewet