14 search results - page 1 / 3 » A New Bayesian Relaxation Framework for the Estimation and S... |
SSIAI
2000
IEEE
13 years 8 months ago
2000
IEEE
In this paper we propose a new probabilistic relaxation framework to perform robust multiple motion estimation and segmentation from a sequence of images. Our approach uses displa...
IBPRIA
2003
Springer
13 years 9 months ago
2003
Springer
Abstract. This paper presents a new framework for the motion segmentation and estimation task on sequences of two grey images without a priori information of the number of moving r...
PAMI
2012
11 years 6 months ago
2012
—We propose a probabilistic formulation of joint silhouette extraction and 3D reconstruction given a series of calibrated 2D images. Instead of segmenting each image separately i...
ICCV
2003
IEEE
14 years 6 months ago
2003
IEEE
Within this paper a new framework for Bayesian tracking is presented, which approximates the posterior distribution at multiple resolutions. We propose a tree-based representation...
NIPS
2000
13 years 5 months ago
2000
We present methods for learning and tracking human motion in video. We estimate a statistical model of typical activities from a large set of 3D periodic human motion data by segm...