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
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Abstract
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.
| Item Type: | Conference or Workshop Item (Other) |
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| Additional Information: | Indexed by Scopus, WOS |
| Uncontrolled Keywords: | Motion detection; Optical flow; Horn-schunck; Video surveillance; Human behavior |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Faculty/Division: | Faculty of Electrical & Electronic Engineering |
| Depositing User: | Mrs. Neng Sury Sulaiman |
| Date Deposited: | 12 Feb 2020 07:00 |
| Last Modified: | 12 Feb 2020 07:00 |
| URI: | http://umpir.ump.edu.my/id/eprint/26650 |
| Download Statistic: | View Download Statistics |
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