NDLI: Regularized and simplified Monte Carlo Joint Probabilistic Data Association Filter for multi-target tracking in wireless sensor networks

Content Provider	IEEE Xplore Digital Library
Author	Tinati, M.A. Rezaii, T.Y. Museviniya, M.J.
Copyright Year	2009
Description	Author affiliation: Faculty of Electrical and Computer Engineering, University of Tabriz, Iran (Tinati, M.A.; Rezaii, T.Y.; Museviniya, M.J.)
Abstract	In this paper we propose to use Regularized Monte Carlo-Joint Probabilistic Data Association Filter (RMC-JPDAF) to the classical problem of multiple target tracking in a cluttered area. We have used the Monte Carlo methods in order to the fact that they have the ability to model any state-space with nonlinear and non- Gaussian models for target dynamics and measurement likelihood. To encounter with the data association problem that arises due to unlabeled measurements in the presence of clutter, we have used the Joint Probabilistic Data Association Filter (JPDAF). Due to the resampling stage in the MC-JPDAF, the sample impoverishment phenomenon is unavoidable and the tracking performance will decrease. So we propose to use the Regularized resampling stage instead, to counteract this effect. Finally we have used the target dynamics model as the proposal distribution in MC-JPDAF, in order to decrease the computational cost while the performance of the tracking system is nearly maintained.
Starting Page	600
Ending Page	605
File Size	524692
Page Count	6
File Format	PDF
ISBN	9781424459490
e-ISBN	9781424459506
DOI	10.1109/ISSPIT.2009.5407524
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-14
Publisher Place	United Arab Emirates
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Monte Carlo methods Filters Wireless sensor networks Target tracking Computational complexity Proposals Computational efficiency Filtering Nonlinear dynamical systems Degradation regularization multiple target tracking data association JPDAF
Content Type	Text
Resource Type	Article

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