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Untitled Prezi

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by

Farwa Siddiqui

on 15 January 2015

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Transcript of Untitled Prezi

Target:

The visitor that is under consideration or intended to be tracked.

Focused Area:

The organization such as bank, departmental store shopping mall etc. where the VISS is implemented.

VIS-ADMIN:
The person that operates VISS.


DEVELOPMENT OF VISUAL INFORMATION SYSTEM FOR PERVASIVE SURVEILLANCE
Under Supervision of
Dr. Adnan Ashraf

Group ID 16
Group HIFRM
Hira Gul
Isbah Kiran
Farwa Siddiqui
Riaz Ahmed
Madeeha Shaikh
Group HIFRM
Hira Gul (11CS74)
Isbah Kiran (11CS68)
Farwa Siddiqui (11CS152)
Riaz Ahmed (11CS48)
Madeeha Shaikh (11CS32)
OUTLINES
• Introduction
• Problem Statement
• Aims And Objectives
• Related Work
• Proposed Visual Information System
• Design & Development Of VISS
• Working Analysis of VISS
• Conclusion

GLOSSARY
INTRODUCTION
Surveillance is an important tool to fight against Terrorism
THREAT!!
Basic security need is to install CCTV cameras in the Premises of
Banks
Departmental stores
Schools
24/7 monitoring
PROBLEM STATEMENT
Extraction of concern information from bulk of CCTV footage is laborious and time taking.
Separate systems are deployed for performance evaluation and security.
To propose a pro-active system that helps in performance evaluation and automates the investigation process.

To track, monitor and report an on-demand visual history of any detected identity through facial recognition.

AIMS AND OBJECTIVES
RELATED WORK
PRISM
I-SECURITY
Face recognition system by Hitachi
PROPOSED VIS
VISUAL INFORMATION
SYSTEM FOR PERVASIVE SURVEILLANCE
Homes
FEATURES OF VISS
Evaluating performance in terms of time spent by target
Evaluating number of visitors per day
Tracking Target through all CCTV cameras in focused area
DESIGN AND DEVELOPMENT
Agile development model
DEVELOPMENT MODEL
UML DIAGRAMS
USE CASE DIAGRAM
SEQUENCE DIAGRAM
ACTIVITY DIAGRAM
Working Mechanism
BUILDING BLOCKS
VISS Prototype
Platform: MATLAB
Face Detection: ViolaJones
Tracking: KLT
Generation Of Report
WORKING ANALYSIS
CONFIGURATION OF VISS
COMPARATIVE ANALYSIS
CONCLUSION
Successfully developed an application i.e. Visual Information System for pervasive Surveillance.

It is an application which is tailored to meet the requirement of proactive security system.

Thus, with VISS the various surveillance challenges to bank branches including security systems can be overcome.
FUTURE WORK
i. Tracking multiple faces at a time.

ii. Making tracking of face possible under insufficient luminosity conditions as well.

iii. Adding filters which eliminates some objects falsely detected as face.

iv. Practical implementation of performance evaluation feature.

Bibliography
[1] Michael Grubinger, Content-based image indexing and retrieval for visual information systems. FTS THESIS 005.74 SO 30001006981692 So. uing Wah Simon, 2007.

[2] What is agile model – advantages, disadvantages and when to use it?. (2010, January 1). Retrieved from http://istqbexamcertification.com/what-is-agile-model-advantages-disadvantages-and-when-to-use-it/.

[3] Author, Mustafa Sayeed. (27/07/2012). Face detection using MATLAB. Retrieved from http://engineeringprojects101.blogspot.com/2012/07/face-detection-using-matlab.html.

[4] Face Detection and Tracking Using KLT. (n.d.). Retrieved from http://www.mathworks.com/help/vision/examples/face-detection-and-tracking-using-the-klt-algorithm.html

[5] Face Detection and Tracking Using CAMshift. (n.d.). Retrieved from http://www.mathworks.com/help/vision/examples/face-detection-and-tracking-using-camshift.html.

[6] Eric Limer. (2012, March 23). Japanese Surveillance system can scan 36 million faces in a second. Retrieved from http://www.themarysue.com/system-scans-36-mil-faces/.

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Figure 1 an illustration showing evaluation of turn around time
Figure 2 an illustration showing evaluation of number of visitors
Figure 3 an illustration Extraction of target's recording
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Figure 5 a use case diagram of VISS
Figure 6 activity diagram of VISS
Figure 7 Sequence diagram of VISS
Figure 4 an illustration showing steps of agile development model
Table 1 hardware & software requirements of VISS
Table 2 Comparison between VISS & Face Recognition System by Hitachi
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