On Crowd Density Estimation for Surveillance
The goal of this work is to use computer vision to measure crowd density in outdoor scenes. Crowd density estimation is an important task in crowd monitoring. The assessment is carried out using images of a graduation scene which illustrated variation of illumination due to textured brick surface, c...
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2006
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| Online Access: | http://eprints.utem.edu.my/id/eprint/94/ http://eprints.utem.edu.my/id/eprint/94/1/on_Crowd_Density_Estimation_for_Surveillance_20006.pdf |
| _version_ | 1848886885345132544 |
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| author | Rahmalan, H. |
| author_facet | Rahmalan, H. |
| author_sort | Rahmalan, H. |
| building | UTeM Institutional Repository |
| collection | Online Access |
| description | The goal of this work is to use computer vision to measure crowd density in outdoor scenes. Crowd density estimation is an important task in crowd monitoring. The assessment is carried out using images of a graduation scene which illustrated variation of illumination due to textured brick surface, clothing and changes of weather. Image features were extracted using grey level dependency matrix, Minkowski fractal dimension and a new method called translation invariant orthonormal Chebyshev moments. The features were then classified into a range of density by using a self organizing map. Three different techniques were used and a comparison on the classification results investigates the best performance for measuring crowd density by vision |
| first_indexed | 2025-11-15T19:45:36Z |
| format | Conference or Workshop Item |
| id | utem-94 |
| institution | Universiti Teknikal Malaysia Melaka |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T19:45:36Z |
| publishDate | 2006 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | utem-942015-05-28T02:16:43Z http://eprints.utem.edu.my/id/eprint/94/ On Crowd Density Estimation for Surveillance Rahmalan, H. Q Science (General) The goal of this work is to use computer vision to measure crowd density in outdoor scenes. Crowd density estimation is an important task in crowd monitoring. The assessment is carried out using images of a graduation scene which illustrated variation of illumination due to textured brick surface, clothing and changes of weather. Image features were extracted using grey level dependency matrix, Minkowski fractal dimension and a new method called translation invariant orthonormal Chebyshev moments. The features were then classified into a range of density by using a self organizing map. Three different techniques were used and a comparison on the classification results investigates the best performance for measuring crowd density by vision 2006-06 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utem.edu.my/id/eprint/94/1/on_Crowd_Density_Estimation_for_Surveillance_20006.pdf Rahmalan, H. (2006) On Crowd Density Estimation for Surveillance. In: The Institution of Engineering and Technology Conference on Crime and Security , 2006. |
| spellingShingle | Q Science (General) Rahmalan, H. On Crowd Density Estimation for Surveillance |
| title | On Crowd Density Estimation for Surveillance |
| title_full | On Crowd Density Estimation for Surveillance |
| title_fullStr | On Crowd Density Estimation for Surveillance |
| title_full_unstemmed | On Crowd Density Estimation for Surveillance |
| title_short | On Crowd Density Estimation for Surveillance |
| title_sort | on crowd density estimation for surveillance |
| topic | Q Science (General) |
| url | http://eprints.utem.edu.my/id/eprint/94/ http://eprints.utem.edu.my/id/eprint/94/1/on_Crowd_Density_Estimation_for_Surveillance_20006.pdf |