19 search results - page 2 / 4 » Improving particle filter with support vector regression for... |
TIP
2008
13 years 4 months ago
2008
Abstract--In this paper, we analyze the computational challenges in implementing particle filtering, especially to video sequences. Particle filtering is a technique used for filte...
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. ...
CVPR
2005
IEEE
14 years 7 months ago
2005
IEEE
A new particle filter, Kernel Particle Filter (KPF), is proposed for visual tracking for multiple objects in image sequences. The KPF invokes kernels to form a continuous estimate...
TIP
2010
12 years 11 months ago
2010
Particle filters (PFs) are Bayesian filters capable of modeling nonlinear, non-Gaussian, and nonstationary dynamical systems. Recent research in PFs has investigated ways to approp...
AMFG
2003
IEEE
13 years 10 months ago
2003
IEEE
This paper presents two techniques for improving human body tracking within the particle filtering scheme. Both techniques explore the use of auxiliary measurements. The first tec...