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Volumn , Issue , 2011, Pages

Modeling motion of body parts for action recognition

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; GESTURE RECOGNITION; IMAGE RECOGNITION;

EID: 84898433295     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5244/C25.64     Document Type: Conference Paper
Times cited : (25)

References (36)
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    • 1-norm near-solution approximates the sparsest near-solution
    • 1-norm near-solution approximates the sparsest near-solution. Communications on Pure and Applied Mathematics, 59(7):907-934, 2006.
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    • Donoho, D.L.1
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    • 0032804927 scopus 로고    scopus 로고
    • The visual analysis of human movement: A survey
    • D. M. Gavrila. The visual analysis of human movement: A survey. Computer Vision and Image Understanding, 73(1):82-98, 1999.
    • (1999) Computer Vision and Image Understanding , vol.73 , Issue.1 , pp. 82-98
    • Gavrila, D.M.1
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    • 84872511624 scopus 로고    scopus 로고
    • Human activity recognition using sequences of postures
    • Tsukuba Science City, Japan
    • V. Kellokumpu, M. Pietikainen, and J. Heikkilä. Human activity recognition using sequences of postures. In Proc. Machine Vision Applications, pages 570-573, Tsukuba Science City, Japan, 2005.
    • (2005) Proc. Machine Vision Applications , pp. 570-573
    • Kellokumpu, V.1    Pietikainen, M.2    Heikkilä, J.3
  • 18
    • 10044220521 scopus 로고    scopus 로고
    • Action and simultaneous multiple-person identification using cubic higher-order local auto-correlation
    • Washington, DC, USA
    • T. Kobayashi and N. Otsu. Action and simultaneous multiple-person identification using cubic higher-order local auto-correlation. In Proc. International Conference on Pattern Recognition, Volume 4, pages 741-744, Washington, DC, USA, 2004.
    • (2004) Proc. International Conference on Pattern Recognition , vol.4 , pp. 741-744
    • Kobayashi, T.1    Otsu, N.2
  • 19
    • 77955993558 scopus 로고    scopus 로고
    • Learning a hierarchy of discriminative space-time neighborhood features for human action recognition
    • San Francisco, CA, Jun.
    • A. Kovashka and K. Grauman. Learning a hierarchy of discriminative space-time neighborhood features for human action recognition. In Proc. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pages 2046-2053, San Francisco, CA, Jun. 2010.
    • (2010) Proc. IEEE Computer Society Conference on Computer Vision and Pattern Recognition , pp. 2046-2053
    • Kovashka, A.1    Grauman, K.2
  • 25
    • 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, pages 976-990, 2010.
    • (2010) Image and Vision Computing , pp. 976-990
    • Poppe, R.1
  • 36
    • 78149474191 scopus 로고    scopus 로고
    • Hierarchical human action recognition by normalized-polar histogram
    • Istanbul, Turkey, Aug.
    • M. Ziaeefard and H. Ebrahimnezhad. Hierarchical human action recognition by normalized-polar histogram. In Proc. International Conference Pattern Recognition, pages 3720-3723, Istanbul, Turkey, Aug. 2010.
    • (2010) Proc. International Conference Pattern Recognition , pp. 3720-3723
    • Ziaeefard, M.1    Ebrahimnezhad, H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.