Motion detection with level set-based segmentation

Suk-ho Lee; Nam-seok Choi; Moon Gi Kang

doi:10.1117/12.839159

28 January 2010 Motion detection with level set-based segmentation

Suk-ho Lee, Nam-seok Choi, Moon Gi Kang

Proceedings Volume 7538, Image Processing: Machine Vision Applications III; 75380O (2010) https://doi.org/10.1117/12.839159
Event: IS&T/SPIE Electronic Imaging, 2010, San Jose, California, United States

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.

Citation Download Citation

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); https://doi.org/10.1117/12.839159

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