DocumentCode :
1539459
Title :
Automatic two-stage IR and MMW image registration algorithm for concealed weapons detection
Author :
Chen, H.-M. ; Varshney, P.K.
Author_Institution :
Dept. of Electr. Eng., Syracuse Univ., NY, USA
Volume :
148
Issue :
4
fYear :
2001
fDate :
8/1/2001 12:00:00 AM
Firstpage :
209
Lastpage :
216
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
Keywords :
feature extraction; image registration; infrared imaging; interpolation; millimetre wave imaging; search problems; weapons; 2D partial volume interpolation; automatic two-stage IR image registration; automatic two-stage MMW image registration; concealed weapons detection; feature-based image registration algorithm; human body silhouettes; image distortion; infrared sensor; joint histogram estimation; millimetre wave sensor; mutual information measure; mutual information measure maximisation; pose parameters; rigid body transformation; simplex search algorithm;
fLanguage :
English
Journal_Title :
Vision, Image and Signal Processing, IEE Proceedings -
Publisher :
iet
ISSN :
1350-245X
Type :
jour
DOI :
10.1049/ip-vis:20010459
Filename :
955422
Link To Document :
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