41 search results - page 4 / 9 » Tracking human body by using particle filter Gaussian proces... |
ICCV
2007
IEEE
14 years 7 months ago
2007
IEEE
In this paper, we present a tracking framework for capturing articulated human motions in real-time, without the need for attaching markers onto the subject's body. This is a...
IJCV
2008
13 years 5 months ago
2008
The recent development of Sequential Monte Carlo methods (also called particle filters) has enabled the definition of efficient algorithms for tracking applications in image sequen...
ICASSP
2010
IEEE
13 years 6 months ago
2010
IEEE
A distributed set-membership-constrained particle filter (SMCPF) is developed for decentralized tracking applications using wireless sensor networks. Unlike existing PF alternati...
AROBOTS
2011
13 years 24 days ago
2011
Abstract— GP-BayesFilters are a general framework for integrating Gaussian process prediction and observation models into Bayesian filtering techniques, including particle filt...
CLEAR
2007
Springer
13 years 12 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,...