DocumentCode :
2382908
Title :
A combination of particle filtering and deterministic approaches for multiple kernel tracking
Author :
Teulière, Céline ; Marchand, Eric ; Eck, Laurent
Author_Institution :
CEA, LIST, Service de Robotique Interactive, 18 route du Panorama, BP6, Fontenay aux Roses, F- 92265 France
fYear :
2009
fDate :
12-17 May 2009
Firstpage :
3948
Lastpage :
3954
Abstract :
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 spatial configuration, making difficult the tracking of more complex motions. This issue can be overcome by using several kernels weighting pixels locations.
Keywords :
Augmented reality; Filtering; Histograms; Kernel; Particle tracking; Robotics and automation; Robustness; Surveillance; Target tracking; Visual servoing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation, 2009. ICRA '09. IEEE International Conference on
Conference_Location :
Kobe
ISSN :
1050-4729
Print_ISBN :
978-1-4244-2788-8
Electronic_ISBN :
1050-4729
Type :
conf
DOI :
10.1109/ROBOT.2009.5152527
Filename :
5152527
Link To Document :
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