133 search results - page 1 / 27 » Adaptive Motion Model for Human Tracking Using Particle Filt... |
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...
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...
ICPR
2008
IEEE
13 years 11 months ago
2008
IEEE
The goal of this article is to present an effective and robust tracking algorithm for nonlinear feet motion by deploying particle filter integrated with Gaussian process latent v...
ICIP
2007
IEEE
14 years 6 months ago
2007
IEEE
This paper introduces a framework to track 3D human movement using Gaussian process dynamic model (GPDM) and particle filter. The framework combines the particle filter and discri...
IROS
2007
IEEE
13 years 10 months ago
2007
IEEE
— In this paper we present a method for determining body orientation and pose information from laser scanner data using particle filtering with an adaptive modeling algorithm. A...