65 search results - page 8 / 13 » Kernel density estimation in adaptive tracking |
ICCV
2011
IEEE
12 years 7 months ago
2011
IEEE
Adaptive tracking-by-detection methods are widely used in computer vision for tracking arbitrary objects. Current approaches treat the tracking problem as a classification task a...
ICCV
2007
IEEE
13 years 9 months ago
2007
IEEE
Even though sensor fusion techniques based on particle filters have been applied to object tracking, their implementations have been limited to combining measurements from multip...
ICIP
2009
IEEE
13 years 5 months ago
2009
IEEE
This paper proposes a new tracking algorithm which combines object and background information, via building object and background appearance models simultaneously by nonparametric...
SCALESPACE
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. Natural images consist of texture, structure and smooth regions and this makes the task of filtering challenging mainly when it aims at edge and texture preservation. In...
CVPR
2010
IEEE
12 years 4 months ago
2010
IEEE
Robust tracking of abrupt motion is a challenging task
in computer vision due to the large motion uncertainty. In
this paper, we propose a stochastic approximation Monte
Carlo (...