65 search results - page 2 / 13 » Kernel density estimation in adaptive tracking |
ICPR
2006
IEEE
14 years 6 months ago
2006
IEEE
In this paper, a novel unsupervised approach for the segmentation of unorganized 3D points sets is proposed. The method derives by the mean shift clustering paradigm devoted to se...
CVPR
2004
IEEE
14 years 7 months ago
2004
IEEE
Background modeling is an important component of many vision systems. Existing work in the area has mostly addressed scenes that consist of static or quasi-static structures. When...
CVPR
2004
IEEE
14 years 7 months ago
2004
IEEE
Statistical density estimation techniques are used in many computer vision applications such as object tracking, background subtraction, motion estimation and segmentation. The pa...
PAMI
2010
13 years 3 months ago
2010
In this paper, we present a new Adaptive Scale Kernel Consensus (ASKC) robust estimator as a generalization of the popular and state-of-the-art robust estimators such as RANSAC (R...
ECCV
2002
Springer
14 years 7 months ago
2002
Springer
Abstract. Two new techniques based on nonparametric estimation of probability densities are introduced which improve on the performance of equivalent robust methods currently emplo...