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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Sungho Kim Min-Sheob Shim Byungin Choi Jieun Kim Yukyung Yang |
| Copyright Year | 2012 |
| Description | Author affiliation: LED-IT Fusion Technology Research Center and Dept. of Electronic Engineering, Yeungnam University, 214-1 Dae-dong Gyeongsan-si Gyeongsangbuk-do, Korea (Sungho Kim; Min-Sheob Shim) || Samsung Thales Company, 304 Changli Namsa-myeon Cheoin-gu, Yongin-si, Korea (Byungin Choi) || Agency for Defense Development, Korea (Jieun Kim; Yukyung Yang) |
| Abstract | It is important to stably extract horizon lines for sea-based infrared search and track. Most of the existing solutions for the problems only use single image to detect horizon line. Although this results in good accuracy for some images, it often fails to detect horizons in foggy, occluded environments. In this paper, we propose a novel horizon detection and tracking method that is robust to sensor vibrations and occlusions using image and sensor-based initial horizon detection and robust statistics. Local horizon optimization and tracking produce stable horizons in occluded environments. The experimental results validate the robustness of the proposed method in real infrared images. |
| Starting Page | 718 |
| Ending Page | 723 |
| File Size | 816282 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781467304290 |
| ISSN | 21618070 |
| e-ISBN | 9781467304306 |
| DOI | 10.1109/CoASE.2012.6386472 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-08-20 |
| Publisher Place | Korea (South) |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Noise Optimization Robustness Cameras Image segmentation Target tracking Image edge detection |
| Content Type | Text |
| Resource Type | Article |
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