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Volumn 35, Issue 4, 2009, Pages 371-378

Spatiotemporal background modeling based on adaptive mixture of Gaussians

Author keywords

Information fusion; Mixture of Gaussians; Non parametric density estimation; Spatiotemporal background model

Indexed keywords

ADAPTIVE SELECTIONS; BACKGROUND MODELING; COMPUTATION EFFICIENCIES; EXPERIMENTAL COMPARISONS; INTEGRAL IMAGES; LOCAL REGIONS; MIXTURE OF GAUSSIANS; NON STATIONARIES; NON-PARAMETRIC DENSITY ESTIMATION; NUMBER OF COMPONENTS; ROBUST DETECTIONS; SPATIAL DISTRIBUTIONS; SPATIAL INFORMATIONS; SPATIOTEMPORAL BACKGROUND MODEL; TEMPORAL DISTRIBUTIONS; TEMPORAL INFORMATIONS;

EID: 65449128901     PISSN: 02544156     EISSN: None     Source Type: Journal    
DOI: 10.3724/SP.J.1004.2009.00371     Document Type: Article
Times cited : (45)

References (16)
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    • Zivkovic, Z.1    van der Heijden, F.2
  • 6
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    • Understanding background mixture models for foreground segmentation
    • Auckland, New Zealand: Auckland University Press
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    • Power, P.W.1    Schoonees, J.A.2
  • 7
    • 33645307063 scopus 로고    scopus 로고
    • Background and foreground modeling using nonparametric kernel density estimation for visual surveillance
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    • (2002) Proceedings of IEEE , vol.90 , Issue.7 , pp. 1151-1163
    • Elgammal, A.1    Duraiswami, R.2    Harwood, D.3    Davis, L.S.4
  • 14
    • 34249105516 scopus 로고    scopus 로고
    • Efficient hierarchical method for background subtraction
    • Chen Y T, Chen C S, Huang C R, Hung Y P. Efficient hierarchical method for background subtraction. Pattern Recognition, 2007, 40(10): 2706-2715.
    • (2007) Pattern Recognition , vol.40 , Issue.10 , pp. 2706-2715
    • Chen, Y.T.1    Chen, C.S.2    Huang, C.R.3    Hung, Y.P.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.