8 search results - page 1 / 2 » Mean-Shift Blob Tracking with Adaptive Feature Selection and... |
ICIP
2007
IEEE
13 years 11 months ago
2007
IEEE
When the appearances of the tracked object and surrounding background change during tracking, fixed feature space tends to cause tracking failure. To address this problem, we prop...
ICCV
2001
IEEE
14 years 6 months ago
2001
IEEE
We present two solutions for the scale selection problem in computer vision. The rst one is completely nonparametric and is based on the the adaptive estimation of the normalized ...
CVPR
2007
IEEE
14 years 6 months ago
2007
IEEE
Tracking objects using the mean shift method is performed by iteratively translating a kernel in the image space such that the past and current object observations are similar. Tr...
CVPR
2003
IEEE
14 years 6 months ago
2003
IEEE
The mean-shift algorithm is an efficient technique for tracking 2D blobs through an image. Although the scale of the mean-shift kernel is a crucial parameter, there is presently n...
IJCV
1998
13 years 4 months ago
1998
The fact that objects in the world appear in different ways depending on the scale of observation has important implications if one aims at describing them. It shows that the not...