Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/298427
Title: Illumination invariant foreground detection algorithms for real time applications
Researcher: Karthikeyan P R
Guide(s): Sakthivel P
Keywords: Engineering and Technology
Engineering
Engineering Electrical and Electronic
Real time application
Foreground detection
Illumination
University: Anna University
Completed Date: 2019
Abstract: In this thesis new foreground detection techniques are proposed to detect moving objects when various illumination changes occur in the monitoring scene Illumination variation is an important problem in many computer vision applications The objective of this research is to design algorithms that are efficient in foreground detection and can run in real time Foreground detection is a primary step in many computer vision applications It mostly employs background subtraction algorithms to detect moving objects in monitoring scenes because of its simplicity and efficiency Initially a thorough study on various state of the art background subtraction algorithms was performed to access its ability to efficiently extract the foreground region when the monitoring scene is influenced by illumination changes To overcome the disadvantages of existing algorithms four new background subtraction techniques are proposed to extract foreground objects in real time These four techniques can be divided into two groups by their way of illumination change detection The first group of algorithms uses entropy as a measure and the second group of algorithms uses luminance and structural similarity as a measure to detect changes in the video sequence In the first two proposed algorithms the entropy of the scene is estimated to detect illumination changes in the monitoring area The first proposed method replaces the current background model of the scene by an ideal background model whenever extreme illumination changes are detected but in the second algorithm the background model is updated at different learning rates by classifying the illumination changes into three levels newline
Pagination: xvi, 109p.
URI: http://hdl.handle.net/10603/298427
Appears in Departments:Faculty of Electrical Engineering

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01_title..pdfAttached File28.84 kBAdobe PDFView/Open
02_certificates.pdf374.4 kBAdobe PDFView/Open
03_abstracts.pdf12.17 kBAdobe PDFView/Open
04_acknowledgements.pdf13.27 kBAdobe PDFView/Open
05_contents.pdf19.36 kBAdobe PDFView/Open
06_listoftables.pdf12.15 kBAdobe PDFView/Open
07_listoffigures.pdf16.46 kBAdobe PDFView/Open
08_listofabbreviations.pdf43.47 kBAdobe PDFView/Open
09_chapter1.pdf451.24 kBAdobe PDFView/Open
10_chapter2.pdf459.74 kBAdobe PDFView/Open
11_chapter3.pdf405.37 kBAdobe PDFView/Open
12_chapter4.pdf707.29 kBAdobe PDFView/Open
13_conclusion.pdf876.87 kBAdobe PDFView/Open
14_references.pdf158.79 kBAdobe PDFView/Open
15_listofpublications.pdf325.52 kBAdobe PDFView/Open
80_recommendation.pdf617 kBAdobe PDFView/Open


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