Please use this identifier to cite or link to this item:
https://open.uns.ac.rs/handle/123456789/9393
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Holtzhausen P. | en |
dc.contributor.author | Crnojević, Vladimir | en |
dc.contributor.author | Herbst B. | en |
dc.date.accessioned | 2019-09-30T09:15:36Z | - |
dc.date.available | 2019-09-30T09:15:36Z | - |
dc.date.issued | 2012-12-01 | en |
dc.identifier.isbn | 9781467325837 | en |
dc.identifier.uri | https://open.uns.ac.rs/handle/123456789/9393 | - |
dc.description.abstract | The detection of naval vessels in open water is a difficult challenge, with many applications from harbor monitoring to proximity security systems for ocean-faring ships. Background modelling is an effective method of detecting candidate targets, and we describe a framework that improves the operational robustness by the interaction of two different Mixture of Gaussian (MoG) models. These results are then processed by a tracking system that accurately detects moving vessels. The algorithm performs well in varying environmental conditions with good real-time performance characteristics. © 2012 IEEE. | en |
dc.relation.ispartof | 2012 3rd International Conference on Image Processing Theory, Tools and Applications, IPTA 2012 | en |
dc.title | The detection of naval vessels by fusion of edge and color background models | en |
dc.type | Conference Paper | en |
dc.identifier.doi | 10.1109/IPTA.2012.6469522 | en |
dc.identifier.scopus | 2-s2.0-84875855616 | en |
dc.identifier.url | https://api.elsevier.com/content/abstract/scopus_id/84875855616 | en |
dc.relation.lastpage | 152 | en |
dc.relation.firstpage | 147 | en |
item.grantfulltext | none | - |
item.fulltext | No Fulltext | - |
Appears in Collections: | FTN Publikacije/Publications |
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