Detection and classification for group moving humans

In the case of moving group of humans the recognition algorithms more often misclassify it as vehicles or large moving object. It is there fore the aim of this project to detect and classify moving object as either Group of humans or something else. The background subtraction technique has been empl...

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Bibliographic Details
Main Author:	Elgenaidi, Walid Suliman
Format:	Thesis
Language:	English
Published:	2007
Subjects:	TK Electrical engineering Electronics Nuclear engineering TR Photography
Online Access:	http://eprints.utm.my/id/eprint/5779/1/WalidSulimanElgenaidiMFKE2007.pdf
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id	my-utm-ep.5779
record_format	uketd_dc
spelling	my-utm-ep.57792018-08-26T04:42:58Z Detection and classification for group moving humans 2007-05 Elgenaidi, Walid Suliman TK Electrical engineering. Electronics Nuclear engineering TR Photography In the case of moving group of humans the recognition algorithms more often misclassify it as vehicles or large moving object. It is there fore the aim of this project to detect and classify moving object as either Group of humans or something else. The background subtraction technique has been employed in this work as it is able to provide complete feature of the moving object. However, it is extremely sensitive to dynamic changes like change of illumination. The detected foreground pixels usually contain noise, small movements like tree leaves. These isolated pixels are filtered by some of preprocessing operations; such as median filter and sequence of morphological operations dilation and erosion. Then the object will be extracted using border extraction technique. The classification makes use the shape of the object. The performance of the proposed technique has achieved 75% accuracy based on 18 test samples. This result shows that if it possible to distinctly classify a group of humans moving in the video sequence from other large moving objects such as vehicles. 2007-05 Thesis http://eprints.utm.my/id/eprint/5779/ http://eprints.utm.my/id/eprint/5779/1/WalidSulimanElgenaidiMFKE2007.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:62131 masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TK Electrical engineering Electronics Nuclear engineering TR Photography
spellingShingle	TK Electrical engineering Electronics Nuclear engineering TR Photography Elgenaidi, Walid Suliman Detection and classification for group moving humans
description	In the case of moving group of humans the recognition algorithms more often misclassify it as vehicles or large moving object. It is there fore the aim of this project to detect and classify moving object as either Group of humans or something else. The background subtraction technique has been employed in this work as it is able to provide complete feature of the moving object. However, it is extremely sensitive to dynamic changes like change of illumination. The detected foreground pixels usually contain noise, small movements like tree leaves. These isolated pixels are filtered by some of preprocessing operations; such as median filter and sequence of morphological operations dilation and erosion. Then the object will be extracted using border extraction technique. The classification makes use the shape of the object. The performance of the proposed technique has achieved 75% accuracy based on 18 test samples. This result shows that if it possible to distinctly classify a group of humans moving in the video sequence from other large moving objects such as vehicles.
format	Thesis
qualification_level	Master's degree
author	Elgenaidi, Walid Suliman
author_facet	Elgenaidi, Walid Suliman
author_sort	Elgenaidi, Walid Suliman
title	Detection and classification for group moving humans
title_short	Detection and classification for group moving humans
title_full	Detection and classification for group moving humans
title_fullStr	Detection and classification for group moving humans
title_full_unstemmed	Detection and classification for group moving humans
title_sort	detection and classification for group moving humans
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2007
url	http://eprints.utm.my/id/eprint/5779/1/WalidSulimanElgenaidiMFKE2007.pdf
_version_	1747814610534137856

Detection and classification for group moving humans

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