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SIBGRAPI
2007
IEEE
14 years 2 months ago
Multiple Mice Tracking using a Combination of Particle Filter and K-Means
This paper presents a new approach to multiple objects tracking that combines particle filters and k-means. The approach has been tested under an important real world situation, ...
Wesley Nunes Gonçalves, João Bosco O...
IROS
2009
IEEE
304views Robotics» more  IROS 2009»
14 years 2 months ago
Real time tracking using an active pan-tilt-zoom network camera
— We present here a real time active vision system on a PTZ network camera to track an object of interest. We address two critical issues in this paper. One is the control of the...
Thang Ba Dinh, Qian Yu, Gérard G. Medioni
ICIP
2006
IEEE
14 years 9 months ago
Effects of Parameters Variations in Particle Filter Tracking
Many implementations of visual tracking have been proposed since many years. The lack of standard evaluation process has prevented fair comparison between them. In this paper, we ...
Céline Mancas-Thillou, Caroline Machy, Dere...
ECCV
2004
Springer
14 years 9 months ago
An MCMC-Based Particle Filter for Tracking Multiple Interacting Targets
Abstract. We describe a Markov chain Monte Carlo based particle filter that effectively deals with interacting targets, i.e., targets that are influenced by the proximity and/or be...
Zia Khan, Tucker R. Balch, Frank Dellaert
ICPR
2008
IEEE
14 years 9 months ago
Preceding car tracking using belief functions and a particle filter
This article presents a preceding car rear view tracking algorithm which utilizes a particle filter and belief function data fusion. Most of tracking applications resort to only o...
Christèle Lecomte, John Klein, Pierre Mich&...