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Proceedings Paper

Motion detection with level set-based segmentation
Author(s): Suk-ho Lee; Nam-seok Choi; Moon Gi Kang
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Paper Abstract

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.

Paper Details

Date Published: 28 January 2010
PDF: 8 pages
Proc. SPIE 7538, Image Processing: Machine Vision Applications III, 75380O (28 January 2010); doi: 10.1117/12.839159
Show Author Affiliations
Suk-ho Lee, Dongseo Univ. (Korea, Republic of)
Nam-seok Choi, Dongseo Univ. (Korea, Republic of)
Moon Gi Kang, Yonsei Univ. (Korea, Republic of)

Published in SPIE Proceedings Vol. 7538:
Image Processing: Machine Vision Applications III
David Fofi; Kurt S. Niel, Editor(s)

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