메뉴 건너뛰기




Volumn , Issue , 2006, Pages 679-688

Semi-supervised learning of joint density models for human pose estimation

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; GESTURE RECOGNITION; MATHEMATICAL MODELS; REGRESSION ANALYSIS; SUPERVISED LEARNING;

EID: 50649108496     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (12)

References (20)
  • 1
    • 84898028841 scopus 로고    scopus 로고
    • http://mocap.cs.cmu.edu/.
  • 2
    • 5044228983 scopus 로고    scopus 로고
    • 3d human pose from silhouettes by relevant vector regression
    • A. Agarwal and B. Triggs. 3d human pose from silhouettes by relevant vector regression. In CVPR, 2004.
    • (2004) CVPR
    • Agarwal, A.1    Triggs, B.2
  • 5
    • 0034850567 scopus 로고    scopus 로고
    • Matching shapes
    • S. Belongie, J. Malik, and J. Puzicha. Matching shapes. In ICCV, volume I, pages 454-461, 2001.
    • (2001) ICCV , vol.1 , pp. 454-461
    • Belongie, S.1    Malik, J.2    Puzicha, J.3
  • 7
    • 0001551844 scopus 로고
    • Supervised learning from incomplete data via an EM approach
    • Zoubin Ghahramani and Michael I. Jordan. Supervised learning from incomplete data via an EM approach. In Proc. NIPS, Volume 6, pages 120-127, 1994.
    • (1994) Proc. NIPS , vol.6 , pp. 120-127
    • Ghahramani, Z.1    Jordan, M.I.2
  • 8
    • 0033285450 scopus 로고    scopus 로고
    • Tracking self-occluding articulated objects in dense disparity maps
    • N. Jojic, M. Turk, and T.S. Huang. Tracking self-occluding articulated objects in dense disparity maps. In ICCV, pages 123-130, 1999.
    • (1999) ICCV , pp. 123-130
    • Jojic, N.1    Turk, M.2    Huang, T.S.3
  • 9
    • 43949153375 scopus 로고
    • Towards model-based recognition of human movements in image sequences
    • June
    • K. Rohr. Towards model-based recognition of human movements in image sequences. CVGIP: Image Understanding, 59(1):94-115, June 1994.
    • (1994) CVGIP: Image Understanding , vol.59 , Issue.1 , pp. 94-115
    • Rohr, K.1
  • 10
    • 0033682438 scopus 로고    scopus 로고
    • Inferring body pose without tracking body parts
    • R. Rosales and S. Sclaroff Inferring body pose without tracking body parts. In CVPR, pages II: 721-727, 2000.
    • (2000) CVPR , vol.2 , pp. 721-727
    • Rosales, R.1    Sclaroff, S.2
  • 11
    • 5044232775 scopus 로고    scopus 로고
    • Gibbs likelihoods for Bayesian tracking
    • S. Roth, L. Sigal, and M.J. Black. Gibbs likelihoods for bayesian tracking. CVPR, 1:886-893, 2004.
    • (2004) CVPR , vol.1 , pp. 886-893
    • Roth, S.1    Sigal, L.2    Black, M.J.3
  • 14
    • 0034857299 scopus 로고    scopus 로고
    • Guiding random particles by deterministic search
    • J. Sullivan and J. Rittscher. Guiding random particles by deterministic search. In ICCV, volume I, pages 323-330, 2001.
    • (2001) ICCV , vol.1 , pp. 323-330
    • Sullivan, J.1    Rittscher, J.2
  • 16
    • 0001224048 scopus 로고    scopus 로고
    • Sparse Bayesian learning and the relevance vector machine
    • Michael E. Tipping. Sparse bayesian learning and the relevance vector machine. J. Mach. Learn. Res., 1:211-244, 2001.
    • (2001) J. Mach. Learn. Res. , vol.1 , pp. 211-244
    • Tipping, M.E.1
  • 18
    • 0344982891 scopus 로고    scopus 로고
    • A sparse probabilistic learning algorithm for real-time tracking
    • O. Williams, A. Blake, and R. Cipolla. A sparse probabilistic learning algorithm for real-time tracking. In ICCV, pages 353-360, 2003.
    • (2003) ICCV , pp. 353-360
    • Williams, O.1    Blake, A.2    Cipolla, R.3
  • 19
    • 84880742718 scopus 로고    scopus 로고
    • Semi-supervised regression with co-training
    • Z. Zhou and M. Li. Semi-supervised regression with co-training. In IJCAI, 2005.
    • (2005) IJCAI
    • Zhou, Z.1    Li, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.