Concealed Weapon Detection: A microwave imaging approach

Concealed Weapon Detection: A microwave imaging approach

Carrer, L.

Yarovoy, A. (mentor)

Electrical Engineering, Mathematics and Computer Science

Telecommunications

2012-06-06

In the last years, there has been a renewed interest in security applications designed to detect potentially dangerous concealed object carried by an individual. In particular automatic detection and classification of concealed weapons is a fundamental part of every surveillance system.Until now merely all the research in image processing for Concealed Weapon Detection has been focused on millimeter wave imagers and X-ray imagers with very little work done in the microwave range. The main objective of this thesis is to develop robust novel image processing algorithms for detection and classification of concealed weapon. In particular, the developed algorithms are specifically tailored to work with microwave radar images. The algorithms shall also perform efficiently with a low false alarm rate in a reduced contrast envinroment such as the one of microwave images. Depolarization Analysis and SIFT Analysis which are two novel algorithms for concealed weapon detection and classification in the field of 3D high resolution microwave radar imaging are presented in this thesis research project.

Concealed Weapon Detection
3D high resolution mw images
Depolarization
SIFT
image processing
PCA
Phase symmetry

http://resolver.tudelft.nl/uuid:328ad834-103a-4199-a690-4d13d9d1b2ba

2013-01-01

Student theses

master thesis

(c) 2012 Carrer, L.