195 search results - page 17 / 39 » Robust Computer Vision through Kernel Density Estimation |
ECCV
2008
Springer
14 years 9 months ago
2008
Springer
Abstract. We propose a novel tracking algorithm based on the WangLandau Monte Carlo sampling method which efficiently deals with the abrupt motions. Abrupt motions could cause conv...
ECCV
2008
Springer
15 years 11 days ago
2008
Springer
We propose a novel tracking algorithm based on the Wang-Landau Monte Carlo sampling method which efficiently deals with the abrupt motions. Abrupt motions could cause conventional ...
ACCV
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. This paper presents a novel nonparametric clustering algorithm called evolving mean shift (EMS) algorithm. The algorithm iteratively shrinks a dataset and generates well ...
PAMI
2007
13 years 7 months ago
2007
The mean-shift algorithm, based on ideas proposed by Fukunaga and Hostetler (1975), is a hill-climbing algorithm on the density defined by a finite mixture or a kernel density e...
CVPR
2012
IEEE
11 years 10 months ago
2012
IEEE
We couple occlusion modeling and multi-frame motion estimation to compute dense, temporally extended point trajectories in video with significant occlusions. Our approach combine...