Night vision camera system for intruder detection in indoor and outdoor environment

This project presents the detection of intruder existence by using a night vision camera system in indoor and outdoor environment. The entire project is done by using image processing techniques via OpenCV which run on Linux environment. The challenge of this project focuses on the detection ability...

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Bibliographic Details
Main Author: Sak, Jenn Shin
Format: Undergraduates Project Papers
Language:English
English
English
Published: 2015
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/13171/
http://umpir.ump.edu.my/id/eprint/13171/
http://umpir.ump.edu.my/id/eprint/13171/1/FKP%20-%20SAK%20JENN%20SHIN%20-%20CD%208510.pdf
http://umpir.ump.edu.my/id/eprint/13171/7/FKP%20-%20SAK%20JENN%20SHIN%20-%20CD%208510%20-%20CHAP%201.pdf
http://umpir.ump.edu.my/id/eprint/13171/8/FKP%20-%20SAK%20JENN%20SHIN%20-%20CD%208510%20-%20CHAP%203.pdf
Description
Summary:This project presents the detection of intruder existence by using a night vision camera system in indoor and outdoor environment. The entire project is done by using image processing techniques via OpenCV which run on Linux environment. The challenge of this project focuses on the detection ability of intruder by using a webcam at a fixed distance in low light condition. The histogram is generated to show the tonal variations and distribution of every frame of the images. Intruders can be detected by detecting the changes occur in the foreground image and the changes of histogram from the real-time video streaming through the webcam.