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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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 |
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Universiti Teknologi MARA |
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UiTM Institutional Repository |
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English |
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Electronic Computers Computer Science |
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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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1783733035866259456 |