Sciweavers

65 search results - page 3 / 13
» Kernel density estimation in adaptive tracking
Sort
View
PG
2000
IEEE
13 years 10 months ago
A New Adaptive Density Estimator for Particle-Tracing Radiosity
Inparticle-tracing radiosityalgorithms, energy-carrying particles are traced through an environmentfor simulating global illumination. Illumination on a surface is reconstructed f...
Wong Kam Wah
DICTA
2007
13 years 7 months ago
Visual Tracking Based on Color Kernel Densities of Spatial Awareness
We propose a kernel-density based scheme that incorporates the object colors with their spatial relevance to track the object in a video sequence. The object is modeled by the col...
Zhuan Qing Huang, Zhuhan Jiang
IVC
2010
128views more  IVC 2010»
13 years 4 months ago
Online kernel density estimation for interactive learning
In this paper we propose a Gaussian-kernel-based online kernel density estimation which can be used for applications of online probability density estimation and online learning. ...
Matej Kristan, Danijel Skocaj, Ales Leonardis
ICPR
2010
IEEE
13 years 12 months ago
Online Discriminative Kernel Density Estimation
—We propose a new method for online estimation of probabilistic discriminative models. The method is based on the recently proposed online Kernel Density Estimation (oKDE) framew...
Matej Kristan, Ales Leonardis
TIP
2010
141views more  TIP 2010»
13 years 28 days ago
Efficient Particle Filtering via Sparse Kernel Density Estimation
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...
Amit Banerjee, Philippe Burlina