I Face Detection And Recognition System author: Mukund Agarwal supervisor: Professor Nishan Canagarajah Project Thesis submitted in support of the Degree of Bachelor of Engineering in Electronic and Communications Engineering



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Thesis

 
 


Mukund Agarwal 
iv 
A C K N O W L E D G E M E N T S
The author would like to thank Professor Nishan Canagarajah for his guidance, support and 
encouragement throughout the year.
Thanks to Mr Dean and Ms Claire who are the regional managers of Sainsbury in Bristol for 
their time and advice on the initial commercial and practical aspect study. 
Thanks also to ex-Bristol MSc students Jingwan Sun and current PhD student Seyid Mohsin 
who offered invaluable advice at various stages throughout the process.


Mukund Agarwal 

C O N T E N T S
 
ABSTRACT ...................................................................................................................................... ii 
DECLARATION AND DISCLAIMER ................................................................................................. iii 
ACKNOWLEDGEMENTS ................................................................................................................ iv 
CONTENTS ..................................................................................................................................... v 
1. 
INTRODUCTION ..................................................................................................................... 1 
1.1 History, Uses And Aim ......................................................................................................... 1 
1.2 Previous Works ................................................................................................................... 2 
1.3 Structure Of The Thesis ....................................................................................................... 3 
2. 
SYSTEM DESIGN .................................................................................................................... 4 
3. 
MOTION DETECTION ............................................................................................................. 5 
3.1 Theory ................................................................................................................................. 5 
3.2 Implementation .................................................................................................................. 7 
4. 
FACE DETECTION ................................................................................................................... 9 
4.1 Theory ................................................................................................................................. 9 
4.1.1 Different types of algorithms ....................................................................................... 9 
4.1.2 Comparison of algorithms .......................................................................................... 10 
4.1.3 Voila and Jones method theory ................................................................................. 11 
4.2 Implementation ................................................................................................................ 12 
5. 
FACE RECOGNITION ............................................................................................................ 13 
5.1 Theory ............................................................................................................................... 13 
5.1.1 Algorithm selection .................................................................................................... 13 
5.1.2 Eigenfaces method ..................................................................................................... 14 
5.2 Implementation ................................................................................................................ 15 
6. 
ACTIONS .............................................................................................................................. 16 
6.1 Email .................................................................................................................................. 16 
6.2 Record ............................................................................................................................... 16 
6.3 Radio Security Handset ..................................................................................................... 16 
7. 
GUI IMPLEMENTATIONS ..................................................................................................... 17 
7.1 Theory ............................................................................................................................... 17 
7.2 Implementation ................................................................................................................ 18 
8. 
MODIFICATIONS & IMPROVEMENTS .................................................................................. 20 


Mukund Agarwal 
vi 
8.1 Averaging RGB ................................................................................................................... 20 
8.2 Timer ................................................................................................................................. 21 
8.3 Ratio Check ........................................................................................................................ 21 
8.4 Resolution Check ............................................................................................................... 22 
8.5 Adding A New Subject To The Database ........................................................................... 23 
8.6 Average Closest Matches .................................................................................................. 24 
8.7 ‘Out Of Memory’ Tackle .................................................................................................... 26 
8.8 Training Set Size ................................................................................................................ 26 
9. 
RESULTS & ANALYSIS ........................................................................................................... 27 
9.1 Hardware & Software Used .............................................................................................. 27 
9.2 Database Used .................................................................................................................. 27 
9.3 Motion Detection .............................................................................................................. 28 
9.4 Face Detection .................................................................................................................. 28 
9.5 Face Recognition ............................................................................................................... 29 
9.6 Final System ...................................................................................................................... 30 
9.6.1 Adding a new subject scenario .................................................................................. 30 
9.6.2 Recognising a face scenario ....................................................................................... 31 
9.6.3 Unrecognised face scenario ....................................................................................... 31 
9.7 Time ................................................................................................................................... 33 
10. 
APPLICATIONS ................................................................................................................. 34 
10.1 Surveillance Systems ....................................................................................................... 34 
10.2 Shoplifter Alarm .............................................................................................................. 34 
10.3 Smart Rooms ................................................................................................................... 34 
11. 
SOFTWARE RELEASE ........................................................................................................ 35 
12. 
CONCLUSIONS ................................................................................................................. 36 
13. 
FURTHER WORK .............................................................................................................. 37 
13.1 Port To C .......................................................................................................................... 37 
13.2 ‘Out Of Memory’ Bug Fix ................................................................................................. 37 
13.3 Improve Face Detection Rate .......................................................................................... 37 
13.4 Improve Face Recognition Rate ...................................................................................... 38 
13.5 Multiple Shots ................................................................................................................. 38 
13.6 Interactive Training Module ............................................................................................ 38 
13.7 Sound Recorder Module ................................................................................................. 39 
13.8 Advance GUI Features ..................................................................................................... 39 
14. 
REFERENCES .................................................................................................................... 40 


Mukund Agarwal 
vii 
15. 
APPENDIX ........................................................................................................................ 42 
15.1 Categories For Test Evaluation ........................................................................................ 42 
15.2 Software Used ................................................................................................................. 42 

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