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Volumn , Issue , 2009, Pages 27-33

An implicit spatiotemporal shape model for human activity localization and recognition

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING ALGORITHMS;

EID: 70449570849     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2009.5204262     Document Type: Conference Paper
Times cited : (23)

References (28)
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    • Ballard, D.1
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    • 0027269138 scopus 로고    scopus 로고
    • A framework for the robust estimation of optical flow
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    • M. Black and P. Anandan. A framework for the robust estimation of optical flow. In ICCV, pages 231-236, 1993. 3
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    • Black, M.1    Anandan, P.2
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    • Behavior recognition via sparse spatio-temporal features
    • P. Dollar, V. Rabaud, G. Cottrell, and S. Belongie. Behavior recognition via sparse spatio-temporal features. VS-PETS, pages 65- 72, 2005. 1
    • (2005) VS-PETS , vol.1 , pp. 65-72
    • Dollar, P.1    Rabaud, V.2    Cottrell, G.3    Belongie, S.4
  • 8
    • 56749163251 scopus 로고    scopus 로고
    • Scale invariant: Action recognition using compound feature mined from dense spatio-temporal corners
    • 2
    • A. Gilbert, J. Illingworth, and R. Bowden. Scale invariant: action recognition using compound feature mined from dense spatio-temporal corners. In European Conference on Computer Vision, volume 530, pages 222-233, 2008. 2
    • (2008) European Conference on Computer Vision , vol.530 , pp. 222-233
    • Gilbert, A.1    Illingworth, J.2    Bowden, R.3
  • 12
    • 0033592606 scopus 로고    scopus 로고
    • Learning the parts of objects by nonnegative matrix factorization
    • 1
    • D. Lee and H. Seung. Learning the parts of objects by nonnegative matrix factorization. Nature, 401(6755):788-791, 1999. 1
    • (1999) Nature , vol.401 , Issue.6755 , pp. 788-791
    • Lee, D.1    Seung, H.2
  • 14
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive image features from scale-invariant keypoinls
    • 1
    • D. Lowe. Distinctive image features from scale-invariant keypoinls. International Journal of Computer Vision, 60(2):91 - 110, 2004. 1
    • (2004) International Journal of Computer Vision , vol.60 , Issue.2 , pp. 91-110
    • Lowe, D.1
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    • 34548203757 scopus 로고    scopus 로고
    • Vision-based human motion analysis: An overview
    • 1
    • R. Poppe. Vision-based human motion analysis: An overview. Comp. Vision, and Image Understanding, 108(1-2):4-18, 2007. 1
    • (2007) Comp. Vision, and Image Understanding , vol.108 , Issue.1-2 , pp. 4-18
    • Poppe, R.1
  • 24
    • 34548748137 scopus 로고    scopus 로고
    • Space-time behavior based correlation or how to tell if two underlying motion fields are similar without computing them?
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    • E. Shechtman and M. Irani. Space-time behavior based correlation or how to tell if two underlying motion fields are similar without computing them? IEEE Trans. Pattern Analysis and Machine Intelligence, 29(11):2045-2056, 2007. 6
    • (2007) IEEE Trans. Pattern Analysis and Machine Intelligence , vol.29 , Issue.11 , pp. 2045-2056
    • Shechtman, E.1    Irani, M.2
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    • Extracting spatiotemporal interest: Points using global information
    • S. Wong and R. Cipolla. Extracting spatiotemporal interest: points using global information. In Proc. IEEE Int. Conf. Computer Vision, pages 1-8, 2007. 1
    • (2007) Proc. IEEE Int. Conf. Computer Vision , vol.1 , pp. 1-8
    • Wong, S.1    Cipolla, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.