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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
Issue Date
2010
Journal Title
IEEE Transactions on Circuits and Systems for Video Technology
ISSN
1051-8215JCR Link
Citation
vol. 20, no. 4, pp. 616 - 620
Indexed
SCI; SCIE; SCOPUS WOS scopus
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
Appears in Collections:
연구기관 > 수리과학연구소 > Journal papers
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