Vision-based attention in maritime environments
This paper presents a saliency inspired visual attention technique for maritime scenes. The main focus is on finding regions in images which there is a high likelihood of a maritime object being present. Experimentation has shown that many regional and global features are required because no single...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Published: |
IEEE
2011
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| Online Access: | http://hdl.handle.net/20.500.11937/43236 |
| _version_ | 1848756634529038336 |
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| author | Albrecht, Thomas Tan, Tele West, Geoffrey Ly, T. Moncrieff, Simon |
| author2 | S. Aditya |
| author_facet | S. Aditya Albrecht, Thomas Tan, Tele West, Geoffrey Ly, T. Moncrieff, Simon |
| author_sort | Albrecht, Thomas |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This paper presents a saliency inspired visual attention technique for maritime scenes. The main focus is on finding regions in images which there is a high likelihood of a maritime object being present. Experimentation has shown that many regional and global features are required because no single feature can reliably detect these objects. Examples of the features used are right angle corner detectors, edge density, and colour difference. A Gaussian classifier has been used to produce an Attention Map of pixel responses. Experiments using ground truthed images show the technique is effective on a large set of images of maritime scenes and is better at detecting maritime objects than existing generic salient detectors. |
| first_indexed | 2025-11-14T09:15:19Z |
| format | Conference Paper |
| id | curtin-20.500.11937-43236 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:15:19Z |
| publishDate | 2011 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-432362023-01-27T05:52:12Z Vision-based attention in maritime environments Albrecht, Thomas Tan, Tele West, Geoffrey Ly, T. Moncrieff, Simon S. Aditya A. Makur This paper presents a saliency inspired visual attention technique for maritime scenes. The main focus is on finding regions in images which there is a high likelihood of a maritime object being present. Experimentation has shown that many regional and global features are required because no single feature can reliably detect these objects. Examples of the features used are right angle corner detectors, edge density, and colour difference. A Gaussian classifier has been used to produce an Attention Map of pixel responses. Experiments using ground truthed images show the technique is effective on a large set of images of maritime scenes and is better at detecting maritime objects than existing generic salient detectors. 2011 Conference Paper http://hdl.handle.net/20.500.11937/43236 10.1109/ICICS.2011.6174213 IEEE restricted |
| spellingShingle | Albrecht, Thomas Tan, Tele West, Geoffrey Ly, T. Moncrieff, Simon Vision-based attention in maritime environments |
| title | Vision-based attention in maritime environments |
| title_full | Vision-based attention in maritime environments |
| title_fullStr | Vision-based attention in maritime environments |
| title_full_unstemmed | Vision-based attention in maritime environments |
| title_short | Vision-based attention in maritime environments |
| title_sort | vision-based attention in maritime environments |
| url | http://hdl.handle.net/20.500.11937/43236 |