Moving object detection and tracking from video sequence : an analysis between canny edge detection and active contour technique / Mohd Anuar Mohd Salleh

Application of tracking is to monitor scenes where one would ideally have one or more human observers identifying events and noting everything that happens. In this research, a system to detect moving object in video sequence was develop and Canny edge detection and active contour technique has b...

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Main Author: Mohd Salleh, Mohd Anuar
Format: Thesis
Language:English
Published: 2006
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/1595/1/TD_MOHD%20ANUAR%20MOHD%20SALLEH%20CS%2006_5%20P01.pdf
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spelling my-uitm-ir.15952019-07-19T07:39:02Z Moving object detection and tracking from video sequence : an analysis between canny edge detection and active contour technique / Mohd Anuar Mohd Salleh 2006 Mohd Salleh, Mohd Anuar Electronic Computers. Computer Science Application of tracking is to monitor scenes where one would ideally have one or more human observers identifying events and noting everything that happens. In this research, a system to detect moving object in video sequence was develop and Canny edge detection and active contour technique has been chosen to test the effectiveness of this technique. Canny edge detection and active contour was developed using C++ language. The algorithm was tested on standard image processing benchmarks and significances of the result are discussed. Keywords: caimy edge detection, active contour, backgroimd subtraction 2006 Thesis https://ir.uitm.edu.my/id/eprint/1595/ https://ir.uitm.edu.my/id/eprint/1595/1/TD_MOHD%20ANUAR%20MOHD%20SALLEH%20CS%2006_5%20P01.pdf text en public degree Universiti Teknologi MARA Faculty of Computer and Mathematical Sciences
institution Universiti Teknologi MARA
collection UiTM Institutional Repository
language English
topic Electronic Computers
Computer Science
spellingShingle Electronic Computers
Computer Science
Mohd Salleh, Mohd Anuar
Moving object detection and tracking from video sequence : an analysis between canny edge detection and active contour technique / Mohd Anuar Mohd Salleh
description Application of tracking is to monitor scenes where one would ideally have one or more human observers identifying events and noting everything that happens. In this research, a system to detect moving object in video sequence was develop and Canny edge detection and active contour technique has been chosen to test the effectiveness of this technique. Canny edge detection and active contour was developed using C++ language. The algorithm was tested on standard image processing benchmarks and significances of the result are discussed. Keywords: caimy edge detection, active contour, backgroimd subtraction
format Thesis
qualification_level Bachelor degree
author Mohd Salleh, Mohd Anuar
author_facet Mohd Salleh, Mohd Anuar
author_sort Mohd Salleh, Mohd Anuar
title Moving object detection and tracking from video sequence : an analysis between canny edge detection and active contour technique / Mohd Anuar Mohd Salleh
title_short Moving object detection and tracking from video sequence : an analysis between canny edge detection and active contour technique / Mohd Anuar Mohd Salleh
title_full Moving object detection and tracking from video sequence : an analysis between canny edge detection and active contour technique / Mohd Anuar Mohd Salleh
title_fullStr Moving object detection and tracking from video sequence : an analysis between canny edge detection and active contour technique / Mohd Anuar Mohd Salleh
title_full_unstemmed Moving object detection and tracking from video sequence : an analysis between canny edge detection and active contour technique / Mohd Anuar Mohd Salleh
title_sort moving object detection and tracking from video sequence : an analysis between canny edge detection and active contour technique / mohd anuar mohd salleh
granting_institution Universiti Teknologi MARA
granting_department Faculty of Computer and Mathematical Sciences
publishDate 2006
url https://ir.uitm.edu.my/id/eprint/1595/1/TD_MOHD%20ANUAR%20MOHD%20SALLEH%20CS%2006_5%20P01.pdf
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