Motion detection using Horn-Schunck optical flow

This system is design to detect motion in a crowd using one of the optical flow algorithms, Horn-Schunck method. By performing some appropriate feature extraction techniques, this system allows us to achieve better results in detecting motion and determining the velocity of that motion in order to a...

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Bibliographic Details
Main Authors:	Wan Nur Azhani, W. Samsudin, Kamarul Hawari, Ghazali
Format:	Conference or Workshop Item
Language:	English
Published:	Springer, Berlin, Heidelberg 2012
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/26650/ http://umpir.ump.edu.my/id/eprint/26650/ http://umpir.ump.edu.my/id/eprint/26650/1/Motion%20detection%20using%20Horn-Schunck%20optical%20flow.pdf

id	ump-26650
recordtype	eprints
spelling	ump-266502020-02-12T07:00:48Z http://umpir.ump.edu.my/id/eprint/26650/ Motion detection using Horn-Schunck optical flow Wan Nur Azhani, W. Samsudin Kamarul Hawari, Ghazali TK Electrical engineering. Electronics Nuclear engineering This system is design to detect motion in a crowd using one of the optical flow algorithms, Horn-Schunck method. By performing some appropriate feature extraction techniques, this system allows us to achieve better results in detecting motion and determining the velocity of that motion in order to analyze the human behaviour based on its velocities. This research works able to help human observer to monitor video recorded by closed-circuit television systems (CCTVs) attached in the region of interest (ROI) area. Springer, Berlin, Heidelberg 2012 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/26650/1/Motion%20detection%20using%20Horn-Schunck%20optical%20flow.pdf Wan Nur Azhani, W. Samsudin and Kamarul Hawari, Ghazali (2012) Motion detection using Horn-Schunck optical flow. In: International Conference on Future Generation Communication and Networking, 16-19 December 2012 , Gangneug, South Korea. pp. 202-209., 350. ISSN 18650929 ISBN 978-364235593-6 https://doi.org/10.1007/978-3-642-35594-3_29
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Wan Nur Azhani, W. Samsudin Kamarul Hawari, Ghazali Motion detection using Horn-Schunck optical flow
description	This system is design to detect motion in a crowd using one of the optical flow algorithms, Horn-Schunck method. By performing some appropriate feature extraction techniques, this system allows us to achieve better results in detecting motion and determining the velocity of that motion in order to analyze the human behaviour based on its velocities. This research works able to help human observer to monitor video recorded by closed-circuit television systems (CCTVs) attached in the region of interest (ROI) area.
format	Conference or Workshop Item
author	Wan Nur Azhani, W. Samsudin Kamarul Hawari, Ghazali
author_facet	Wan Nur Azhani, W. Samsudin Kamarul Hawari, Ghazali
author_sort	Wan Nur Azhani, W. Samsudin
title	Motion detection using Horn-Schunck optical flow
title_short	Motion detection using Horn-Schunck optical flow
title_full	Motion detection using Horn-Schunck optical flow
title_fullStr	Motion detection using Horn-Schunck optical flow
title_full_unstemmed	Motion detection using Horn-Schunck optical flow
title_sort	motion detection using horn-schunck optical flow
publisher	Springer, Berlin, Heidelberg
publishDate	2012
url	http://umpir.ump.edu.my/id/eprint/26650/ http://umpir.ump.edu.my/id/eprint/26650/ http://umpir.ump.edu.my/id/eprint/26650/1/Motion%20detection%20using%20Horn-Schunck%20optical%20flow.pdf
first_indexed	2023-09-18T22:41:37Z
last_indexed	2023-09-18T22:41:37Z
_version_	1777416952742936576

Motion detection using Horn-Schunck optical flow

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