Please use this identifier to cite or link to this item: http://dspace.library.iitb.ac.in/xmlui/handle/100/1939
Title: Data association for multiple target tracking : an optimization approach
Authors: ZAVERI, MA
MERCHANT, SN
DESAI, UB
Issue Date: 2004
Publisher: SPRINGER-VERLAG BERLIN
Citation: NEURAL INFORMATION PROCESSING,3316,187-192
Abstract: In multiple target tracking the data association, observation to track fusion, is crucial and plays an important role for success of any tracking algorithm. The observation may be due to true target or may be clutter. In this paper, data association problem is viewed as an optimization problem and two methods, (i) using neural network and (ii) using the evolutionary algorithm, have been proposed and compared.
URI: http://dspace.library.iitb.ac.in/xmlui/handle/10054/15176
http://hdl.handle.net/100/1939
ISBN: 3-540-23931-6
ISSN: 0302-9743
Appears in Collections:Proceedings papers

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