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Wavelet-based detection and its application to tracking in an IR sequence

DSpace at IIT Bombay

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Title Wavelet-based detection and its application to tracking in an IR sequence
 
Creator ZAVERI, MA
MERCHANT, SN
DESAI, UB
 
Subject maneuvering target tracking
variable dimension filter
image sequences
multitarget tracking
data association
moving targets
algorithm
clutter
systems
objects
data association
interacting
multiple model
kalman filtering
multiple filter bank
wavelet transform
 
Description We propose an effective technique using a wavelet-based temporal decomposition algorithm to detect single-pixel targets with motion from frame to frame. We next integrate the proposed detection algorithm with an interacting multiple-model method and multiple filter bank approach to provide an effective solution for tracking multiple single-pixel nonmaneuvering and maneuvering targets. Through Monte Carlo simulations, we establish the efficiency and robustness of the proposed approach. Based on exhaustive empirical study, we demonstrate the effectiveness of our proposed approach in tracking multiple single-pixel targets in a sequence of infrared images with clutter and occlusion due. to moving clouds in airborne applications.
 
Publisher IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
 
Date 2011-08-01T19:50:00Z
2011-12-26T12:53:28Z
2011-12-27T05:39:33Z
2011-08-01T19:50:00Z
2011-12-26T12:53:28Z
2011-12-27T05:39:33Z
2007
 
Type Article
 
Identifier IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS, 37(6), 1269-1286
1094-6977
http://dx.doi.org/10.1109/TSMCC.2007.905829
http://dspace.library.iitb.ac.in/xmlui/handle/10054/8529
http://hdl.handle.net/10054/8529
 
Language en