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Volumn 38, Issue 5, 2011, Pages 5125-5128

Local Ternary Patterns from Three Orthogonal Planes for human action classification

Author keywords

Ensemble of support vector machines; Human action classification; Local Binary Patterns; Local Ternary Patterns; Machine learning techniques

Indexed keywords

ENSEMBLE OF SUPPORT VECTOR MACHINES; HUMAN ACTIONS; LOCAL BINARY PATTERNS; LOCAL TERNARY PATTERNS; MACHINE LEARNING TECHNIQUES;

EID: 79151485903     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2010.09.137     Document Type: Article
Times cited : (42)

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  • 10
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    • Human activity recognition using a dynamic texture based method
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    • Kellokumpu, V.; Zhao, G.; & Pietikäinen, M. (2008), Human activity recognition using a dynamic texture based method. In BMVC08, pp. 1-10.
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  • 12
    • 0029669420 scopus 로고    scopus 로고
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    • T. Ojala, M. Pietikäinen, and D. Harwood A comparative study of texture measures with classification based on featured distribution Pattern Recognition 29 1 1996 51 59
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    • Ojala, T.1    Pietikäinen, M.2    Harwood, D.3
  • 13
    • 47749126235 scopus 로고    scopus 로고
    • Comparison between 2D and 3D local binary pattern methods for characterisation of three-dimensional textures
    • Paulhac, L.; Makris, P.; & Ramel, J. Y. (2008). Comparison between 2D and 3D local binary pattern methods for characterisation of three-dimensional textures. In ICIAR08, pp. 670-679.
    • (2008) ICIAR08 , pp. 670-679
    • Paulhac, L.1    Makris, P.2    Ramel, J.Y.3
  • 15
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    • Enhanced local texture feature sets for face recognition under difficult lighting conditions
    • Springer
    • X. Tan, and B. Triggs Enhanced local texture feature sets for face recognition under difficult lighting conditions Analysis and modelling of faces and gestures LNCS Vol. 4778 2007 Springer 168 182
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    • Tan, X.1    Triggs, B.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.