Vigilcam Video Surveillance System
Prof. Kumar Eswaran, Advisor
Dept of Information Technology (CSIT)
Jawaharlal Nehru Technology University
Hyderabad, Andhra Pradesh, India
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Download Thesis :
PDF
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Abstract:
"Security and Surveillance are two vital issues to be addressed in
the commercial and defense arenas. Deploying human resources for
these tasks is becoming expensive and better alternative strategies
are in need. An autonomous video surveillance system would be such
an alternative.The aim of this thesis is to develop an autonomous video
surveillance system that continuously perceives the action
involved in the live video imagery captured by the
surveillance camera and alerts the human operator of any
suspicious activity, thus minimizing the requirement of
human resources. This report presents the basic framework
and methodologies adopted by us in the development of the
'VigilCam video surveillance system project'. It deals with
the technical approaches that can be adopted for Moving
Object Detection, Object Tracking and Activity Perception.
A novel method devised for Multiple Object Extraction is also
explained. We also show the experimental results of the
VigilCam video surveillance system."
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System Overview :
The tremendous technological advancements made in the field of
digital video capture and the accompanying reduction in their
prices has made it economical to incorporate them in video
surveillance systems. These advanced devices coupled with robust
software can be effectively used to work as autonomous surveillance
systems, thus weeding out the need for expensive human resources.
Most of the surveillance cameras currently used in the commercial,
law enforcement and military sectors are being used as a "passive"
investigation tool. This begets the need for an autonomous proactive
video surveillance system. i.e. computer based systems that continuously
monitor the live video imagery captured by surveillance cameras for any
suspicious activity and alert the human operator accordingly.
This report puts forth the framework and methodologies adopted by us in the
development of an autonomous video surveillance system called VigilCam.
The basic framework or the block diagram of the VigilCam video
surveillance system is shown in the Figure below -
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Environment :
Microsoft Visual Studio 6.0, MFC, TWAIN, FreeImage, Video for Windows (VFW), Microsoft Windows
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Project Members :
Deepak Roy Chittajallu, Raghava Teja, Sujeet Kuchibhotla, Vijaya Rao Suravajjala
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Community Tools Developed In the Process :
- Digital Image Processing Tutor - a windows Application using MFC, TWAIN, FreeImage and Microsoft VC++ 6.0.
- Video and Still Image Capture Tools - windows applications using MFC, TWAIN, Video for Windows (VFW) and Microsoft VC++ 6.0
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