This paper appears in: Vision, Image and Signal Processing, IEE Proceedings -
Publication Date: Aug 2001
Volume: 148,
Issue: 4
On page(s): 209-216
ISSN: 1350-245X
References Cited: 20
CODEN: IVIPEK
INSPEC Accession Number: 7063397
Digital Object Identifier: 10.1049/ip-vis:20010459
Posted online: 2002-08-07 00:08:09.0
Abstract
A two-stage registration scheme for the concealed weapons
detection (CWD) problem is developed. The goal is to automatically
register images taken simultaneously from two different (infrared (IR)
and millimetre wave (MMW)) but parallel sensors whose lines of sight
(LOS) are close to each other. The purpose of the first stage is to
register the images coarsely. A feature-based image registration
algorithm based on human body silhouettes is developed at this stage.
The pose parameters found at this stage are used as the starting search
point for the second stage of the registration algorithm. At the second
stage, maximisation of the mutual information measure between IR and MMW
images is performed to improve the pose parameters obtained at the first
stage. Two-dimensional partial volume interpolation is employed to
estimate the joint histogram that is needed to calculate mutual
information (MI). The simplex search algorithm is utilised to maximise
the MI measure. In both stages, the distortion between the two images is
assumed to be a rigid body transformation. Experimental results indicate
that the automated two-stage registration algorithm performs fairly well
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