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28 January 2010 Motion detection with level set-based segmentation
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In this paper, we propose a level set based object detection method for video surveillance which provides for a robust and real-time working object detection under various global illumination conditions. The proposed scheme needs no manual parameter settings for different illumination conditions, which makes the algorithm applicable to automatic surveillance systems. Two special filters are designed to eliminate the spurious object regions that occur due to the CCD noise, making the scheme stable even in very low illumination conditions. We demonstrate the effectiveness of the proposed algorithm experimentally with different illumination conditions, change of contrast, and noise level.
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Suk-ho Lee, Nam-seok Choi, and Moon Gi Kang "Motion detection with level set-based segmentation", Proc. SPIE 7538, Image Processing: Machine Vision Applications III, 75380O (28 January 2010);

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