Name
Abstract | ||
|---|---|---|
The automatic recognition of ships is important for monitoring ship traffic. Military as well as civil officials are interested in the identification of unknown contacts with high accuracy. This work presents an experimental system for finding ship silhouettes in infrared images which may be integrated into the system for infrared sequence analysis and classification of the german navy. Our approach is based on active contours (snakes) and a combination of different pre- and post-processing techniques. Thus, Gradient Vector Flow and Deformation Models have been taken for the experiments. Experimental results show that both approaches can lead the snake model to closely fit a ship silhouette, but the Deformation Model finally produces the better results. |
Year | Venue | Keywords |
|---|---|---|
2005 | Vision '05: Proceedings of the 2005 International Conference on Computer Vision | active contours, edge detection, ship silhouettes, feature extraction, infrared images |
Field | DocType | Citations |
Computer vision,Computer science,Artificial intelligence,Infrared | Conference | 2 |
PageRank | References | Authors |
0.43 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dietmar Wippig | 1 | 2 | 0.77 |
| Bernd Klauer | 2 | 50 | 14.36 |
| Hans Christoph Zeidler | 3 | 77 | 57.41 |