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Volumn , Issue , 2008, Pages 1556-1559

Dynamic background modeling and subtraction using spatio-temporal local binary patterns

Author keywords

Background modeling; Local binary patterns; Object detection; Spatio temporal features

Indexed keywords

BACKGROUND MODELING; DETECTION OF MOVING OBJECT; DYNAMIC BACKGROUND; DYNAMIC CHANGES; DYNAMIC SCENES; DYNAMIC TEXTURES; FALSE DETECTIONS; LOCAL BINARY PATTERNS; MOTION INFORMATION; OBJECT DETECTION; SPATIAL DOMAINS; SPATIAL TEXTURE; SPATIO-TEMPORAL; SPATIO-TEMPORAL FEATURES; STATIC STRUCTURES; SUBTRACTION METHOD;

EID: 69949189641     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2008.4712065     Document Type: Conference Paper
Times cited : (102)

References (10)
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    • A bayesian framework for gaussian mixture background modelling
    • D.S. Lee, J.J. Hull, and B. Erol, "A bayesian framework for gaussian mixture background modelling," Proc. IEEE Conf. Image Processing, 2003, vol. 3, pp. 973-976.
    • (2003) Proc. IEEE Conf. Image Processing , vol.3 , pp. 973-976
    • Lee, D.S.1    Hull, J.J.2    Erol, B.3
  • 6
    • 49949119898 scopus 로고    scopus 로고
    • Dynamic texture recognition uing volume local binary patterns
    • G. Zhao and M. Pietikainen, "Dynamic texture recognition uing volume local binary patterns," Proc. Workshop on Dynamical Vision, 2007, pp. 165-177.
    • (2007) Proc. Workshop on Dynamical Vision , pp. 165-177
    • Zhao, G.1    Pietikainen, M.2
  • 8
    • 0029669420 scopus 로고    scopus 로고
    • A comparative study of texture measures with classification based on feature distributions
    • T. Ojala, M. Pietikäinen, and D. Harwood, "A comparative study of texture measures with classification based on feature distributions," Pattern Recognition, vol. 29, pp. 51-59, 1996.
    • (1996) Pattern Recognition , vol.29 , pp. 51-59
    • Ojala, T.1    Pietikäinen, M.2    Harwood, D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.