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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Albrecht, T. Tan, T. West, G.A.W. Ly, T. Moncrieff, S. |
| Copyright Year | 2011 |
| Description | Author affiliation: Defence Science and Technology Organisation, Australia (Ly, T.) || Department of Spatial Sciences, Curtin University, Western Australia (West, G.A.W.; Moncrieff, S.) || Department of Computing, Curtin University, Western Australia (Albrecht, T.; Tan, T.) |
| Abstract | 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. |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 1101599 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781457700293 |
| e-ISBN | 9781457700316 |
| DOI | 10.1109/ICICS.2011.6174213 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-12-13 |
| Publisher Place | Singapore |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Detectors Image color analysis Image edge detection Feature extraction Marine vehicles Visualization Heating |
| Content Type | Text |
| Resource Type | Article |
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