52 search results - page 1 / 11 » Approximating Inference on Complex Motion Models Using Multi... |
PCM
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. Due to its great ability of conquering clutters, which is especially useful for high-dimensional tracking problems, particle filter becomes popular in the visual trackin...
CVPR
2003
IEEE
14 years 7 months ago
2003
IEEE
The likelihood models used in probabilistic visual tracking applications are often complex non-linear and/or nonGaussian functions, leading to analytically intractable inference. ...
ICPR
2010
IEEE
13 years 2 months ago
2010
IEEE
This paper presents a novel approach to model the complex motion of human using a probabilistic autoregressive moving average model. The parameters of the model are adaptively tun...
ICIP
2003
IEEE
14 years 6 months ago
2003
IEEE
Robust real-time tracking of non-rigid objects in a dynamic environment is a challenging task. Among various cues in tracking, color can provide an efficient visual cue for this t...
CVPR
2003
IEEE
14 years 7 months ago
2003
IEEE
In many applications of graphical models arising in computer vision, the hidden variables of interest are most naturally specified by continuous, non-Gaussian distributions. There...