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Volumn , Issue , 2010, Pages 2422-2425

Video action recognition with spatio-temporal graph embedding and spline modeling

Author keywords

Appearance modeling; Graph embedding; Spline modeling; Video event analysis

Indexed keywords

COMPUTER VISION;

EID: 78049387473     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2010.5496275     Document Type: Conference Paper
Times cited : (12)

References (12)
  • 3
    • 33745943239 scopus 로고    scopus 로고
    • Efficient visual event detection using volumetric features
    • Y. Ke, R. Sukthankar, and M. Hebert. "Efficient visual event detection using volumetric features", In Proceedings of IEEE ICCV, pp. 166- 173, 2005.
    • (2005) Proceedings of IEEE ICCV , pp. 166-173
    • Ke, Y.1    Sukthankar, R.2    Hebert, M.3
  • 7
    • 84898026340 scopus 로고    scopus 로고
    • Unsupervised learning of human action categories using spatial-temporal words
    • J.C.Niebles, H.Wang, andL.Fei-Fei. Unsupervised learning of human action categories using spatial-temporal words, In BMVC,2006.
    • (2006) BMVC
    • Niebles, J.C.1    Wang, H.2    Fei-Fei, L.3
  • 9
    • 0002999362 scopus 로고    scopus 로고
    • Splines: A Perfect fit for Signal and Image Processing
    • M. Unser, "Splines: A Perfect fit for Signal and Image Processing", IEEE Signal Processing Magazine, 1999.
    • (1999) IEEE Signal Processing Magazine
    • Unser, M.1
  • 12
    • 78049375877 scopus 로고    scopus 로고
    • Human Action Recognition with Luminance Field Trajectory Projection and Alignment
    • H. Zheng, Z. Li, Y. Fu, T. Huang, "Human Action Recognition with Luminance Field Trajectory Projection and Alignment", IEEE ICME 2009.
    • IEEE ICME 2009
    • Zheng, H.1    Li, Z.2    Fu, Y.3    Huang, T.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.