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Hybrid particle filtering for real time object tracking

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5 Author(s)
Lanvin, P. ; Lab. d''Analyse des Syst. du Littoral, Universite du Littoral Cote d''Opale ; Noyer, J.C. ; Benjelloun, M. ; Yeary, M.
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This paper presents a method for real time object tracking. The method tracks 3D objects in image sequences and jointly estimates their 3D pose and motion parameters. The solution relies on a state modeling of this estimation problem. We develop a resolution method based on a sequential Monte Carlo method and more particularly on a hybrid particle filter. This approach combines the benefits of the linear filtering with those of the nonlinear filtering by using the linear part of state equations. The proposed method allows a significant reduction in running time and preserves the optimality of the processing. As a consequence, the proposed method allows a real time object tracking

Published in:

Signals, Systems and Computers, 2005. Conference Record of the Thirty-Ninth Asilomar Conference on

Date of Conference:

Oct. 28 2005-Nov. 1 2005