48 search results - page 4 / 10 » Target Model Estimation using Particle Filters for Visual Se... |
CVPR
2003
IEEE
14 years 9 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. ...
CLEAR
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. This paper presents a novel approach to the problem of determining head pose estimation and face 3D orientation of several people in low resolution sequences from multipl...
SAC
2008
ACM
13 years 7 months ago
2008
ACM
Abstract. In this paper we discuss new adaptive proposal strategies for sequential Monte Carlo algorithms--also known as particle filters--relying on new criteria evaluating the qu...
CLEAR
2007
Springer
14 years 1 months ago
2007
Springer
This paper presents a visual particle filter for tracking a variable number of humans interacting in indoor environments, using multiple cameras. It is built upon a 3-dimensional,...
CVPR
2009
IEEE
15 years 2 months ago
2009
IEEE
A novel particle filter, the Memory-based Particle Filter
(M-PF), is proposed that can visually track moving objects
that have complex dynamics. We aim to realize robustness
aga...