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Volumn , Issue , 2008, Pages 5960-5965

Background subtraction based on adaptive non-parametric model

Author keywords

Background subtraction; Non parametric density estimation; Object detection; Visual surveillance

Indexed keywords

CHLORINE COMPOUNDS; ESTIMATION; INDUSTRIAL ENGINEERING; INTELLIGENT CONTROL; OBJECT RECOGNITION; SECURITY SYSTEMS;

EID: 52149098362     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WCICA.2008.4592844     Document Type: Conference Paper
Times cited : (22)

References (15)
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  • 3
    • 84964316524 scopus 로고    scopus 로고
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    • orlando, USA: IEEE Pres
    • Javed. O, Shafique. K, "A Hierarchical Approach to Robust Background Subtraction using Color and Gradient Information", in Proceeding of IEEE Workshop on Motion and Video Computing, orlando, USA: IEEE Pres, 2002, pp. 22-27.
    • (2002) Proceeding of IEEE Workshop on Motion and Video Computing , pp. 22-27
    • Javed, O.1    Shafique, K.2
  • 7
    • 33646894470 scopus 로고    scopus 로고
    • Moving object segmentation by background subtraction and temporal analysis
    • May
    • Spagnolo. P, Orazio. T, "Moving object segmentation by background subtraction and temporal analysis", Image and Vision Computing, vol. 24, no.5, pp. 411-423, May 2006.
    • (2006) Image and Vision Computing , vol.24 , Issue.5 , pp. 411-423
    • Spagnolo, P.1    Orazio, T.2
  • 10
    • 28044439637 scopus 로고    scopus 로고
    • Bayesian Modeling of Dynamic Scenes for Object Detection
    • November
    • Sheikh. A, Shah. M, "Bayesian Modeling of Dynamic Scenes for Object Detection", IEEE trans on pattern analysis and machine intelligence, vol. 27, no.11, pp.1778-1792, November 2005.
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    • Sheikh, A.1    Shah, M.2
  • 11
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    • On Estimation of a Probability Density and Mode
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  • 14
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    • Robust computer vision through kernel density estimation
    • Copenhagen, Denmark: Springer Pres
    • H.Chen and P. Meer. "Robust computer vision through kernel density estimation". In: Proceeding of European Conference on Computer Vision, Copenhagen, Denmark: Springer Pres, 2002, pp.236-250.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.