Abstract
Forward Looking InfraRed (FLIR) video from fast moving platforms suffers from high levels of egomotion and is often obtained in poor conditions including low light, low resolution and periodic obscurement, which makes target detection and tracking hard. In this paper we propose an algorithmic framework which integrates image sequence stabilization, moving target detection and segmentation, target tracking, and super-resolution approaches and forms a front-end of the Automatic Target Recognition system.
| Original language | English (US) |
|---|---|
| Pages | 319-321 |
| Number of pages | 3 |
| State | Published - 1998 |
| Externally published | Yes |
| Event | 4th International Conference on Computer Science and Informatics, JCIS 1998, 1st International Workshop on High Performance, 1st International Workshop on Computer Vision, Pattern Recognition and Image Processing Volume 4 - Research Triangle Park, NC, United States Duration: Oct 23 1998 → Oct 28 1998 |
Conference
| Conference | 4th International Conference on Computer Science and Informatics, JCIS 1998, 1st International Workshop on High Performance, 1st International Workshop on Computer Vision, Pattern Recognition and Image Processing Volume 4 |
|---|---|
| Country/Territory | United States |
| City | Research Triangle Park, NC |
| Period | 10/23/98 → 10/28/98 |
ASJC Scopus subject areas
- General Computer Science
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