Surveillance System Using Abandoned Luggage Detection

154 Pages·2007·5.76 MB·English

Surveillance System Using Abandoned
Luggage Detection

Delft, 4th July 2007

Man-Machine Interaction Group
Faculty of Electrical Engineering, Mathematics and
Computer Science
Delft University of Technology, the Netherlands

Surveillance System Using
Abandoned Luggage Detection

Bachelor Thesis (IN3700)
in Media & Knowledge Engineering

Man-Machine Interaction Group
Faculty of Electrical Engineering, Mathematics and Computer Science
Delft University of Technology
The Netherlands

4th July 2007

Copyright © iBlobU, 2007
Man-Machine Interaction Group
Faculty of Electrical Engineering, Mathematics and Computer Science
Delft University of Technology
Mekelweg 4
2628 CD Delft
The Netherlands

Members of the Assessment Committee
dr. drs. L.J.M. Rothkrantz
ir. M. Sepers
ir. Z. Yang

Members of iBlobU Team
Calvin Choy (1230514)
May Chung (1174428)
Gherry Harahap (1217461)
Meriane Natadarma (1203819)
Sin Lin Wu (1169912)
Surveillance System Using Abandoned Luggage Detection
Calvin Choy, May Chung, Gherry Harahap, Meriane Natadarma, Sin Lin Wu
Man-Machine Interaction Group
Faculty of EEMCS
Delft University of Technology

Members of Assessment Committee
dr. drs. L.J.M. Rothkrantz, ir. M. Sepers, ir. Z. Yang

Abstract

Many public or open areas are facilitated with cameras at multiple angles to monitor
the security of that area for keeping citizens safe. This is known as the surveillance system. At
the moment, the best solution to reach a safe environment requires a human operator tools to
monitor the digital camera images. Even though human is arguably the most intelligent
creatures in this world, there are still some shortcomings in the existing solution. In addition,
the reason increased adaptation of security cameras to survey public areas has caused a
digital data explosion that human operators have difficulty to keep up with. Because of these
shortcomings, humans keep inventing new discoveries to make the best of it. In order to
support this surveillance system, a recognition and tracking system is built in this project to
detect an abandoned luggage in the public transportation area such as train stations and
airports. The goal of this project is to design and implement a system which will be able to
detect abandoned luggage using the captured images or videos from the camera as the input
of the system. The system realizes image segmentation and image tracking, creates blobs of
objects, labels the blobs and finally gives a warning when an abandoned luggage is detected.
Also a database is developed to store all the media data.

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Acknowledgement

This bachelor’s thesis describes the research and development that was done to accomplish
the bachelor project. The project was carried out at the Man-Machine Interaction Group, of
the faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of
Technology.

First of all, we would like to thank our thesis supervisor, Drs. Dr. L.J.M. Rothkrantz for his
guidance and support. His knowledge and ideas have given us a lot of inspiration.

Secondly, we would like to thank our advisor, Zhenke Yang, for his ideas and suggestions,
Dragos Datcu for giving us information about the OpenCV library and also Toos Brussee-
Donders for arranging the logistic during the movie shoots at Delft-Zuid Train Station.

The visit to NS Amsterdam and NS Utrecht gave us much information about the security
related work and the existing systems. Therefore, we want to thank Jan Dietz, Monique
Holland, Cees Roffel, Mark van Teeffelen, Martin de Vries and Hans Heida for their time and
kindness.

A big thanks to all of our friends and family who helped and supported us (in)directly with
the project. Their help and support motivated us to finalize this project.

The iBlobU Team
Calvin Choy
May Chung
Gherry Harahap
Meriane Natadarma
Sin Lin Wu

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