Name
Abstract | ||
|---|---|---|
This work studies visual detection with camera systems at sea. Electro-Optical sensors are part of a larger picture compilation process and are likely to perform sensor tasks in support of surveillance, classification, identification and anomaly detection. This article investigates the usefulness of colour as an attribute for automated detection in a maritime environment. Analysis of extensive imagery, that was collected from HNLMS Tromp, revealed that the blue colour channel has a higher information density than the other colour channels. For automatic detection of objects at sea, the use of a principal colour channel is investigated. It is concluded that adaptive detection settings with respect to the sensor task and the environment result in an improvement of automatic detection capabilities. |
Year | Venue | Keywords |
|---|---|---|
2009 | Seattle, WA | cameras,electro-optical devices,image classification,image colour analysis,image fusion,image sensors,military computing,naval engineering,object detection,automated visual sea detection,blue colour channel,camera system,electro-optical sensor,image colour,maritime environment,picture compilation process,principal colour channel,surveillance,detection,rgb analysis,background estimation,colour images,fusion,electro optical sensor,data mining,information analysis,image analysis,visualization |
Field | DocType | ISBN |
Anomaly detection,Object detection,Computer vision,Electro-optical MASINT,Image fusion,Image sensor,Visualization,Computer science,Communication channel,Artificial intelligence,Contextual image classification | Conference | 978-0-9824-4380-4 |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tanja Y. C. van Valkenburg-van Haarst | 1 | 0 | 0.34 |
| Vincent van Leijen | 2 | 0 | 0.34 |
| Frans C. A. Groen | 3 | 9 | 2.68 |