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Robust horizontal line detection and tracking in occluded environment for infrared cameras

Title
Robust horizontal line detection and tracking in occluded environment for infrared cameras
Authors
Kim, S.Kwon, S.Choi, B.
DGIST Authors
Kwon, S.
Issue Date
2012
Citation
2012 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2012, 1, 298-304
Type
Conference
Article Type
Conference Paper
ISBN
9781601322258
Abstract
Detecting a horizontal line in an infrared image is an important component of automatic surveillance applications such as detecting ships, missiles on the horizon, unmanned aerial vehicle control, flight navigation, and port security. 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 an infrared camera for 24 hour running. An initial horizon is detected by a sensor geometry-based method for the robustness. Local horizon optimization and tracking produce stable horizons in occluded environments. The experimental results validate the feasibility of the proposed method in real infrared images.
URI
http://hdl.handle.net/20.500.11750/3890
Publisher
Image Processing and Computer Vision
Related Researcher
Files:
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Collection:
ETC2. Conference Papers


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