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CVPR
2005
IEEE
16 years 5 months ago
Using Particles to Track Varying Numbers of Interacting People
In this paper, we present a Bayesian framework for the fully automatic tracking of a variable number of interacting targets using a fixed camera. This framework uses a joint multi...
Kevin Smith, Daniel Gatica-Perez, Jean-Marc Odobez
ICIP
2007
IEEE
16 years 4 months ago
Multicues 2D Articulated Pose Tracking using Particle Filtering and Belief Propagation on Factor Graphs
This paper describes a method for articulated upper body tracking in monocular scenes. The compatibility between model and the image is estimated using one particle filter for eac...
Philippe Noriega, Olivier Bernier
ASIAMS
2008
IEEE
15 years 9 months ago
Intelligent Web Caching Using Neurocomputing and Particle Swarm Optimization Algorithm
Web caching is a technology for improving network traffic on the internet. It is a temporary storage of Web objects (such as HTML documents) for later retrieval. There are three s...
Sarina Sulaiman, Siti Mariyam Hj. Shamsuddin, Fadn...
GECCO
2007
Springer
210views Optimization» more  GECCO 2007»
15 years 9 months ago
Markov chain models of bare-bones particle swarm optimizers
We apply a novel theoretical approach to better understand the behaviour of different types of bare-bones PSOs. It avoids many common but unrealistic assumptions often used in an...
Riccardo Poli, William B. Langdon
CVPR
2006
IEEE
15 years 9 months ago
A Modular Approach to the Analysis and Evaluation of Particle Filters for Figure Tracking
This paper presents the first systematic empirical study of the particle filter (PF) algorithms for human figure tracking in video. Our analysis and evaluation follows a modula...
Ping Wang, James M. Rehg