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연구기관
수리과학연구소
Journal papers
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Global illumination invariant object detection with level set based bimodal segmentation
Title
Global illumination invariant object detection with level set based bimodal segmentation
Authors
Lee S.-H.
;
Woo H.
;
Gi Kang M.G.
Ewha Authors
우현균
SCOPUS Author ID
우현균
Issue Date
2010
Journal Title
IEEE Transactions on Circuits and Systems for Video Technology
ISSN
1051-8215
Citation
IEEE Transactions on Circuits and Systems for Video Technology vol. 20, no. 4, pp. 616 - 620
Indexed
SCI; SCIE; SCOPUS
Document Type
Article
Abstract
In this letter, we propose a new 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 charge coupled device (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, changes in contrast, and noise level. © 2006 IEEE.
DOI
10.1109/TCSVT.2010.2041824
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