Print Email Facebook Twitter Concealed Weapon Detection: A microwave imaging approach Title Concealed Weapon Detection: A microwave imaging approach Author Carrer, L. Contributor Yarovoy, A. (mentor) Faculty Electrical Engineering, Mathematics and Computer Science Department Telecommunications Date 2012-06-06 Abstract 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. Subject Concealed Weapon Detection3D high resolution mw imagesDepolarizationSIFTimage processingPCAPhase symmetry To reference this document use: http://resolver.tudelft.nl/uuid:328ad834-103a-4199-a690-4d13d9d1b2ba Embargo date 2013-01-01 Part of collection Student theses Document type master thesis Rights (c) 2012 Carrer, L. Files PDF LCarrer_MscThesis.pdf 7.67 MB Close viewer /islandora/object/uuid:328ad834-103a-4199-a690-4d13d9d1b2ba/datastream/OBJ/view