Date of Award

Fall 2009

Document Type

Thesis

Degree Name

Master of Science (MS)

Department

Electrical & Computer Engineering

Program/Concentration

Electrical Engineering

Committee Director

Zia-ur Rahman

Committee Member

Vijayan Asari

Committee Member

Jiang Li

Call Number for Print

Special Collections LD4331.E55 G65 2009

Abstract

Concealed weapons detection is a large problem that is faced by the Police Department nowadays. There are many disasters caused by poor detection of the weapons. Since public safety is at risk there is a need to design an efficient detector that can detect the weapons hidden under the clothing. This thesis presents a novel method for detecting concealed weapons under clothing using image processing techniques. In this thesis IR imagery is used to capture an image which works on the principle of law of black body radiation. Image thresholding is performed on the captured data using Sauvola's adaptive thresholding algorithm. Then the next step is to perform edge detection depending upon the orientation of the pixels in the image. This step is performed to get an outline of the shoulders in the image. Then image classification is done to find the distance between the shoulders in pixel size which can in-turn be used to estimating the approximate size of the hidden weapon. Finally, we locate the object of interest by using a sliding window method, which scans the image looking for object pixels in it. Finally concealed weapons are detected under the clothing using image processing techniques.

Rights

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DOI

10.25777/ht5v-dk46

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