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Proceedings Paper

Adaptive target segmentation using runtime-weighted features
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Paper Abstract

Target segmentation plays an important role in the entire target tracking process. This process decides whether the current pixel belongs to the target region or not. In the previous works, the target region was extracted according to whether the intensity of each pixel is larger than a certain value. But simple binarization using one feature, i.e. intensity, can easily fail to track as condition changes. In this paper, we employ more features such as intensity, deviation over time duration, matching error, etc. rather than intensity only and each feature is weighted by the weighting logic, which compares the characteristics in the target region with that in the background region. The weighting logic gives a higher weight to the feature which has a large difference between the target region and the background region. So the proposed segmentation method can control the priority of features adaptively and is robust to the condition changes of various circumstances.

Paper Details

Date Published: 7 May 2007
PDF: 7 pages
Proc. SPIE 6567, Signal Processing, Sensor Fusion, and Target Recognition XVI, 65671F (7 May 2007); doi: 10.1117/12.719293
Show Author Affiliations
Jik-Han Jung, Korea Advanced Institute of Science and Technology (South Korea)
Hwal-Suk Lee, Korea Advanced Institute of Science and Technology (South Korea)
Dong-Jo Park, Korea Advanced Institute of Science and Technology (South Korea)
Chang-Han Park, Samsung Thales Co., Ltd. (South Korea)
Jae-Ik Lee, Samsung Thales Co., Ltd. (South Korea)


Published in SPIE Proceedings Vol. 6567:
Signal Processing, Sensor Fusion, and Target Recognition XVI
Ivan Kadar, Editor(s)

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