Record Details

Genetic IMM_NN based tracking of multiple point targets in infrared image sequence

DSpace at IIT Bombay

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Title Genetic IMM_NN based tracking of multiple point targets in infrared image sequence
 
Creator ZAVERI, MA
MERCHANT, SN
DESAI, UB
 
Subject algorithms
 
Description Tracking of maneuvering and non-maneuvering targets simultaneously is a challenging task for multiple target tracking (MTT) system. Interacting multiple model (IMM) filtering has been used for tracking multiple targets successfully. IMM needs to evaluate model probability using an observation assigned to the track. We propose a tracking algorithm based on IMM which exploits the genetic algorithm for data association. Genetic algorithm performs nearest neighbor (NN) based data assignment. A mixture probability density function (pdf) for the likelihood of the observation is used for data assignment.
 
Publisher SPRINGER-VERLAG BERLIN
 
Date 2011-10-23T16:20:39Z
2011-12-15T09:11:14Z
2011-10-23T16:20:39Z
2011-12-15T09:11:14Z
2004
 
Type Article; Proceedings Paper
 
Identifier APPLIED COMPUTING, PROCEEDINGS,3285,17-25
3-540-23659-7
0302-9743
http://dspace.library.iitb.ac.in/xmlui/handle/10054/15174
http://hdl.handle.net/100/1937
 
Source 2nd Asian Applied Computing Conference,Kathmandu, NEPAL,OCT 29-31, 2004
 
Language English