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Volumn 46, Issue 7, 2013, Pages 1832-1840

Learning discriminative features for fast frame-based action recognition

Author keywords

Feature mining; Frame based action recognition

Indexed keywords

ACTION RECOGNITION; COMPUTATIONAL EXPENSE; COMPUTATIONALLY EFFICIENT; DISCRIMINATIVE FEATURES; FEATURE MINING; SHAPE CHARACTERISTICS; STATE-OF-THE-ART APPROACH; STRUCTURAL REPRESENTATION;

EID: 84875243023     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2012.08.016     Document Type: Article
Times cited : (21)

References (28)
  • 3
    • 70450203660 scopus 로고    scopus 로고
    • Recognizing realistic actions from videos in the wild
    • J. Liu, J. Luo, M. Shah, Recognizing realistic actions from videos in the wild, in: Proceedings of CVPR, 2009.
    • (2009) Proceedings of CVPR
    • Liu, J.1    Luo, J.2    Shah, M.3
  • 4
    • 77949275097 scopus 로고    scopus 로고
    • A survey on vision-based human action recognition
    • R. Poppe A survey on vision-based human action recognition Image and Vision Computing 28 6 2010 976 990
    • (2010) Image and Vision Computing , vol.28 , Issue.6 , pp. 976-990
    • Poppe, R.1
  • 5
    • 69549119986 scopus 로고    scopus 로고
    • Understanding video events a survey of methods for automatic interpretation of semantic occurrences in video
    • G. Lavee, E. Rivlin, and M. Rudzsky Understanding video events a survey of methods for automatic interpretation of semantic occurrences in video IEEE Transactions on Systems, Man, and Cybernetics 39 5 2009 489 504
    • (2009) IEEE Transactions on Systems, Man, and Cybernetics , vol.39 , Issue.5 , pp. 489-504
    • Lavee, G.1    Rivlin, E.2    Rudzsky, M.3
  • 11
    • 0027947535 scopus 로고
    • Optical imaging reveals the functional architecture of neurons processing shape and motion in owl monkey area mt
    • D. Malonek, R. Tootell, and A. Grinvald Optical imaging reveals the functional architecture of neurons processing shape and motion in owl monkey area mt Proceedings of the Royal Society of London 258 1352 1994 109 119
    • (1994) Proceedings of the Royal Society of London , vol.258 , Issue.1352 , pp. 109-119
    • Malonek, D.1    Tootell, R.2    Grinvald, A.3
  • 12
    • 33746583272 scopus 로고    scopus 로고
    • Visual perception of biological motion by form a template-matching analysis
    • J. Lange, K. Georg, and M. Lappe Visual perception of biological motion by form a template-matching analysis Journal of Vision 6 8 2006 836 849
    • (2006) Journal of Vision , vol.6 , Issue.8 , pp. 836-849
    • Lange, J.1    Georg, K.2    Lappe, M.3
  • 14
    • 2442449952 scopus 로고    scopus 로고
    • Mining frequent patterns without candidate generation a frequent-pattern tree approach
    • J. Han, J. Pei, Y. Yin, and R. Mao Mining frequent patterns without candidate generation a frequent-pattern tree approach Data Mining and Knowledge Discovery 8 2004 53 87
    • (2004) Data Mining and Knowledge Discovery , vol.8 , pp. 53-87
    • Han, J.1    Pei, J.2    Yin, Y.3    Mao, R.4
  • 15
    • 0011466148 scopus 로고
    • Mining association rules between sets of items in large databases
    • R. Agrawal, T. Imielinski, A. Swami, Mining association rules between sets of items in large databases, in: ACM SIGMOD, 1993, pp. 26-28.
    • (1993) ACM SIGMOD , pp. 26-28
    • Agrawal, R.1    Imielinski, T.2    Swami, A.3
  • 18
    • 77953749678 scopus 로고    scopus 로고
    • Learning a discriminative hidden part model for human action recognition
    • Y. Wang, G. Mori, Learning a discriminative hidden part model for human action recognition, in: NIPS, 2008.
    • (2008) NIPS
    • Wang, Y.1    Mori, G.2
  • 19
    • 51949101597 scopus 로고    scopus 로고
    • Action snippets: How many frames does human action recognition require?
    • K. Schindler, L. Van Gool, Action snippets: How many frames does human action recognition require? in: Proceedings of CVPR, 2008.
    • (2008) Proceedings of CVPR
    • Schindler, K.1    Van Gool, L.2
  • 22
    • 10044233701 scopus 로고    scopus 로고
    • Recognizing human actions: A local SVM approach
    • C. Schuldt, I. Laptev, B. Caputo, Recognizing human actions: a local SVM approach, in: Proceedings of ICPR, 2004, pp. 32-36.
    • (2004) Proceedings of ICPR , pp. 32-36
    • Schuldt, C.1    Laptev, I.2    Caputo, B.3
  • 23
    • 79951911492 scopus 로고    scopus 로고
    • Learning active basis model for object detection and recognition
    • Y. Wu, S. Si, H. Gong, and S. Zhu Learning active basis model for object detection and recognition International Journal of Computer Vision 90 2 2010 198 235
    • (2010) International Journal of Computer Vision , vol.90 , Issue.2 , pp. 198-235
    • Wu, Y.1    Si, S.2    Gong, H.3    Zhu, S.4
  • 26
    • 0033954837 scopus 로고    scopus 로고
    • Spatial pooling in the second-order spatial structure of cortical complex cells
    • K. Sakai, and S. Tanaka Spatial pooling in the second-order spatial structure of cortical complex cells Vision Research 40 7 2000 855 871
    • (2000) Vision Research , vol.40 , Issue.7 , pp. 855-871
    • Sakai, K.1    Tanaka, S.2
  • 27
    • 0033316361 scopus 로고    scopus 로고
    • Hierarchical models of object recognition in cortex
    • M. Riesenhuber, and T. Poggio Hierarchical models of object recognition in cortex Nature Neuroscience 2 1999 1019 1025
    • (1999) Nature Neuroscience , vol.2 , pp. 1019-1025
    • Riesenhuber, M.1    Poggio, T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.