DSpace
 

DSpace at IIT Bombay >
IITB Publications >
Proceedings papers >

Please use this identifier to cite or link to this item: http://dspace.library.iitb.ac.in/jspui/handle/100/2001

Title: Robust neural net based data association and multiple model based tracking of multiple point targets
Authors: ZAVERI, MA
DESAI, UB
MERCHANT, SN
Keywords: expectation-maximization algorithm
maximum-likelihood
maneuvering targets
em algorithm
pmht
Issue Date: 2004
Publisher: SPIE-INT SOC OPTICAL ENGINEERING
Citation: IMAGE PROCESSING: ALGORITHMS AND SYSTEMS III,5298,337-348
Abstract: Data association and model selection are important factors for tracking multiple targets in a dense clutter environment without using apriori information about the target dynamic. We propose a neural network based tracking algorithm, incorporating interacting multiple model to track both maneuvering and non-maneuvering targets simultaneously in the presence of dense clutter. For data association, we use the Expectation-Maximization (EM) algorithm and Hopfield network to evaluate assignment weights. All validated measurements are used to update the target state and hence, it avoids the uncertainty about the origin of the measurements. In the proposed approach the data association process is defined to incorporate multiple models for target dynamics and probability density, function (pdf) of an observed data given target state and measurement association, is treated as a mixture pdf. This allows to combine the likelihood of a measurement due to each model, and consequently, it is possible to track any arbitrary trajectory in the presence of dense clutter.
URI: http://dx.doi.org/10.1117/12.521177
http://dspace.library.iitb.ac.in/xmlui/handle/10054/15280
http://hdl.handle.net/100/2001
ISBN: 0-8194-5201-7
ISSN: 0277-786X
Appears in Collections:Proceedings papers

Files in This Item:

There are no files associated with this item.

View Statistics

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

 

Valid XHTML 1.0! DSpace Software Copyright © 2002-2010  Duraspace - Feedback