Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/26038
Title: An enhancement of people counting System using edge flow vector Segmentation and fuzzy logic
Researcher: Sivabalakrishnan M
Guide(s): Manjula D
Keywords: Information and Communication engineering
Novel background
Upload Date: 26-Sep-2014
University: Anna University
Completed Date: 01-05-2012
Abstract: Visual surveillance has been a very active research topic in the last newlinefew years due to its growing importance in matters of security Our goal is to newlinetrack and count multiple moving people observed from static surveillance newlinecameras Methods of background subtraction are widely used in these kinds of newlineconditions But the people count often fails due to noise foreground shadow newlinescene occlusion blob merge and blob split newlineIn this thesis the methods for background estimation background newlinesubtraction segmentation and tracking have been investigated Four methods newlineare proposed to deal with the related problems The automatic estimation of newlinebackground is a challenging job due to variations in the video and the newlinecomplexity of the background In this context the extraction of the newlinebackground from images and videos is an important research problem and newlinereceives growing attention newlineThe first method uses the background model to estimate the newlinebackground image from a video A novel background estimation algorithm newlinebased on an improved mode algorithm is used to obtain the regions of a static newlinebackground The goal of employing these approaches is to obtain a clean newlinestatic background reference image and then applying it for background newlinesubtraction For high frame rate sequences the adjacent frame subtraction newlinemethod is used since the change of motion between the consecuting frames is newlinevery small This method eliminates the stationary background leaving only newlinethe desired motion regions newline newline
Pagination: xviii, 127p.
URI: http://hdl.handle.net/10603/26038
Appears in Departments:Faculty of Information and Communication Engineering

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02_certificate.pdf368.16 kBAdobe PDFView/Open
03_abstract.pdf12.45 kBAdobe PDFView/Open
04_acknowledgement.pdf6.47 kBAdobe PDFView/Open
05_content.pdf25.93 kBAdobe PDFView/Open
06_chapter1.pdf36 kBAdobe PDFView/Open
07_chapter2.pdf75.95 kBAdobe PDFView/Open
08_chapter3.pdf86.23 kBAdobe PDFView/Open
09_chapter4.pdf1.01 MBAdobe PDFView/Open
10_chapter5.pdf467.55 kBAdobe PDFView/Open
11_chapter6.pdf712.88 kBAdobe PDFView/Open
12_chapter7.pdf16.19 kBAdobe PDFView/Open
13_reference.pdf29.38 kBAdobe PDFView/Open
14_publication.pdf7.95 kBAdobe PDFView/Open
15_vitae.pdf5.64 kBAdobe PDFView/Open


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