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Please use this identifier to cite or link to this item: http://dspace.library.iitb.ac.in/jspui/handle/10054/8529

Title: Wavelet-based detection and its application to tracking in an IR sequence
Authors: ZAVERI, MA
MERCHANT, SN
DESAI, UB
Keywords: maneuvering target tracking
variable dimension filter
image sequences
multitarget tracking
data association
moving targets
algorithm
clutter
systems
objects
Issue Date: 2007
Publisher: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation: IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS, 37(6), 1269-1286
Abstract: 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.
URI: 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
ISSN: 1094-6977
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