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Volumn , Issue , 2012, Pages 3333-3336

Trajectory-based Fisher kernel representation for action recognition in videos

Author keywords

[No Author keywords available]

Indexed keywords

ACTION RECOGNITION; BAG-OF-FEATURES; BENCHMARK DATASETS; BEST FIT; COMPUTER VISION PROBLEMS; DISCRIMINATIVE MODELS; EVENT DETECTION; FISHER KERNELS; GAUSSIAN MIXTURE MODEL; STATE-OF-THE-ART METHODS; SVM CLASSIFIERS; TRAJECTORY-BASED; VIDEO INDEXING AND RETRIEVAL; VIDEO REPRESENTATIONS; VIDEO SUMMARIZATION; VIDEO TRAJECTORY;

EID: 84874577192     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (22)

References (9)
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  • 3
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    • N. Dalal, B. Triggs, and C. Schmid. Human detection using oriented histograms of flow and appearance. In ECCV, 2006.
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    • Dalal, N.1    Triggs, B.2    Schmid, C.3
  • 4
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    • Jaakola, T.1    Haussler, D.2
  • 5
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    • F. Perronnin and C. Dance. Fisher kernels on visual vocabularies for image categorization. In CVPR, 2007.
    • (2007) CVPR
    • Perronnin, F.1    Dance, C.2
  • 7
    • 10044233701 scopus 로고    scopus 로고
    • Recognizing human actions: A local svm approach
    • C. Schuldt, I. Laptev, and B. Caputo. Recognizing human actions: A local svm approach. In ICPR, 2004.
    • (2004) ICPR
    • Schuldt, C.1    Laptev, I.2    Caputo, B.3
  • 8
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    • Action recognition by dense trajectories
    • H. Wang, A. Kläser, C. Schmid, and C.-L. Liu. Action recognition by dense trajectories. In CVPR, pages 3169-3176, 2011.
    • (2011) CVPR , pp. 3169-3176
    • Wang, H.1    Kläser, A.2    Schmid, C.3    Liu, C.-L.4
  • 9
    • 33845566162 scopus 로고    scopus 로고
    • Svm-knn: Discriminative nearest neighbor classification for visual category recognition
    • H. Zhang, A. C. Berg, M. Maire, and J. Malik. Svm-knn: Discriminative nearest neighbor classification for visual category recognition. In CVPR, 2006.
    • (2006) CVPR
    • Zhang, H.1    Berg, A.C.2    Maire, M.3    Malik, J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.