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연구기관
수리과학연구소
Journal papers
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Environmentally robust motion detection for video surveillance
Title
Environmentally robust motion detection for video surveillance
Authors
Woo H.
;
Jung Y.M.
;
Kim J.-G.
;
Seo J.K.
Ewha Authors
우현균
SCOPUS Author ID
우현균
Issue Date
2010
Journal Title
IEEE Transactions on Image Processing
ISSN
1057-7149
Citation
IEEE Transactions on Image Processing vol. 19, no. 11, pp. 2838 - 2848
Indexed
SCI; SCIE; SCOPUS
Document Type
Article
Abstract
Most video surveillance systems require to manually set a motion detection sensitivity level to generate motion alarms. The performance of motion detection algorithms, embedded in closed circuit television (CCTV) camera and digital video recorder (DVR), usually depends upon the preselected motion sensitivity level, which is expected to work in all environmental conditions. Due to the preselected sensitivity level, false alarms and detection failures usually exist in video surveillance systems. The proposed motion detection model based upon variational energy provides a robust detection method at various illumination changes and noise levels of image sequences without tuning any parameter manually. We analyze the structure mathematically and demonstrate the effectiveness of the proposed model with numerous experiments in various environmental conditions. Due to the compact structure and efficiency of the proposed model, it could be implemented in a small embedded system. © 2006 IEEE.
DOI
10.1109/TIP.2010.2050644
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