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SIBGRAPI
2007
IEEE
14 years 1 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...
ICPR
2008
IEEE
14 years 2 months ago
An MCMC-based particle filter for multiple person tracking
Iker Zuriarrain, Frédéric Lerasle, N...
CVPR
2008
IEEE
14 years 9 months ago
Distributed data association and filtering for multiple target tracking
This paper presents a novel distributed framework for multi-target tracking with an efficient data association computation. A decentralized representation of trackers' motion...
Ting Yu, Ying Wu, Nils Krahnstoever, Peter H. Tu
AUTOMATICA
2002
93views more  AUTOMATICA 2002»
13 years 7 months ago
Hybrid state estimation: a target tracking application
In this paper we present a framework in which the general hybrid filtering or state estimation problem can be formulated. The problem of joint tracking and classification can be f...
Yvo Boers, Hans Driessen
ROBOCUP
2007
Springer
208views Robotics» more  ROBOCUP 2007»
14 years 1 months ago
3D Tracking by Catadioptric Vision Based on Particle Filters
This paper presents a robust tracking system for autonomous robots equipped with omnidirectional cameras. The proposed method uses a 3D shape and color-based object model. This all...
Matteo Taiana, José António Gaspar, ...