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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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
Springer, Berlin, Heidelberg
2012
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| Online Access: | 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 |
| _version_ | 1848822587327512576 |
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| 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 |
| building | UMP Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T02:43:37Z |
| format | Conference or Workshop Item |
| id | ump-26650 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T02:43:37Z |
| publishDate | 2012 |
| publisher | Springer, Berlin, Heidelberg |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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 (Published) https://doi.org/10.1007/978-3-642-35594-3_29 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Wan Nur Azhani, W. Samsudin Kamarul Hawari, Ghazali Motion detection using Horn-Schunck optical flow |
| title | 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_short | Motion detection using Horn-Schunck optical flow |
| title_sort | motion detection using horn-schunck optical flow |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| 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 |