132 search results - page 5 / 27 » Tunable Kernels for Tracking |
ICPR
2008
IEEE
14 years 2 months ago
2008
IEEE
In this paper, we propose a new method for object tracking based on mean shift algorithm using a kernel which has the shape of the target object, and with probabilistic estimation...
ICIP
2005
IEEE
14 years 10 months ago
2005
IEEE
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...
IBPRIA
2009
Springer
13 years 6 months ago
2009
Springer
We propose a novel statistical method for motion detection and background maintenance for a mobile observer. Our method is based on global motion estimation and statistical backgro...
CVPR
2004
IEEE
14 years 10 months ago
2004
IEEE
Kernel-based objective functions optimized using the mean shift algorithm have been demonstrated as an effective means of tracking in video sequences. The resulting algorithms com...
ICPR
2008
IEEE
14 years 2 months ago
2008
IEEE
The mean-shift (MS) algorithm is widely used in object tracking because of its speed and simplicity. However, it assumes certain overlap of object appearance and smooth change in ...