DSpace at IIT Bombay >
IITB Publications >
Proceedings papers >
Please use this identifier to cite or link to this item:
|Title: ||Genetic IMM_NN based tracking of multiple point targets in infrared image sequence|
|Authors: ||ZAVERI, MA|
|Issue Date: ||2004|
|Publisher: ||SPRINGER-VERLAG BERLIN|
|Citation: ||APPLIED COMPUTING, PROCEEDINGS,3285,17-25|
|Abstract: ||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.|
|Appears in Collections:||Proceedings papers|
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.