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ICRA
2009
IEEE
175views Robotics» more  ICRA 2009»
13 years 2 months ago
A combination of particle filtering and deterministic approaches for multiple kernel tracking
Color-based tracking methods have proved to be efficient for their robustness qualities. The drawback of such global representation of an object is the lack of information on its s...
Céline Teuliere, Éric Marchand, Laur...
IWINAC
2009
Springer
13 years 11 months ago
Optimised Particle Filter Approaches to Object Tracking in Video Sequences
In this paper, the ways of optimising a Particle Filter video tracking algorithm are investigated. The optimisation scheme discussed in this work is based on hybridising a Particle...
Artur Loza, Fanglin Wang, Miguel A. Patricio, Jes&...
FGR
2004
IEEE
185views Biometrics» more  FGR 2004»
13 years 8 months ago
Real Time Hand Tracking by Combining Particle Filtering and Mean Shift
Particle filter and mean shift are two successful approaches taken in the pursuit of robust tracking. Both of them have their respective strengths and weaknesses. In this paper, w...
Caifeng Shan, Yucheng Wei, Tieniu Tan, Fréd...
SIBGRAPI
2007
IEEE
13 years 11 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...
ACCV
2007
Springer
13 years 11 months ago
Multi-camera People Tracking by Collaborative Particle Filters and Principal Axis-Based Integration
This paper presents a novel approach to tracking people in multiple cameras. A target is tracked not only in each camera but also in the ground plane by individual particle filter...
Wei Du, Justus H. Piater