Sciweavers

Share
ICIP
2009
IEEE

M2sir: A Multi Modal Sequential Importance Resampling Algorithm For Particle Filters

10 years 7 months ago
M2sir: A Multi Modal Sequential Importance Resampling Algorithm For Particle Filters
We present a multi modal sequential importance resampling particle filter algorithm for object tracking. We consider a hidden state sequence linked to several observation sequences given by different sensors. In a particle filter based framework, each sensor provides a likelihood (weight) associated to each particle and simple rules are applied to merge the different weights such as addition or product. We propose an original algorithm based on likelihood ratios to merge the observations within the sampling step. The algorithm is compared with classic fusion operations on toy examples. Moreover, we show that the method gives satisfactory results on a real vehicle tracking application.
Added 10 Nov 2009
Updated 21 Dec 2009
Type Conference
Year 2009
Where ICIP
Comments (0)
books