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Volumn , Issue , 2007, Pages

Gait analysis for human identification through manifold learning and HMM

Author keywords

Gait recognition; Human identification; Nonlinear dimension reduction

Indexed keywords

AUTOMATION; HIDDEN MARKOV MODELS; IDENTIFICATION (CONTROL SYSTEMS); IMAGE RECOGNITION; LEARNING SYSTEMS; TIME SERIES ANALYSIS;

EID: 34547165871     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WMVC.2007.16     Document Type: Conference Paper
Times cited : (8)

References (16)
  • 3
    • 33751586074 scopus 로고    scopus 로고
    • The gait identification challenge problem: Data sets and baseline algorithm
    • August
    • P. J. Phillips, S. Sarkar, I. Robledo, P. Grother, and K. W. Bowyer,. "The gait identification challenge problem: Data sets and baseline algorithm", ICPR, August 2002.
    • (2002) ICPR
    • Phillips, P.J.1    Sarkar, S.2    Robledo, I.3    Grother, P.4    Bowyer, K.W.5
  • 5
    • 0346750541 scopus 로고    scopus 로고
    • L. Wang, T. Tan, H. Ning, and W. Hu, . Silhouette Analysis-based Gait Recognition for Human Identification,. IEEE Trans. Pattern Anal, and Mach. Intell., 25, no. 12, pp. 1505.1518, Dec. 2003
    • L. Wang, T. Tan, H. Ning, and W. Hu, . "Silhouette Analysis-based Gait Recognition for Human Identification",. IEEE Trans. Pattern Anal, and Mach. Intell., vol. 25, no. 12, pp. 1505.1518, Dec. 2003
  • 10
    • 0034704229 scopus 로고    scopus 로고
    • A global geometric framework for nonlinear dimensionality reduction
    • J. B. Tenenbaum, de Silva, V.& Langford, J.C, "A global geometric framework for nonlinear dimensionality reduction", Science, 2000, 290, pp. 2319-2323
    • (2000) Science , vol.290 , pp. 2319-2323
    • Tenenbaum, J.B.1    de Silva, V.2    Langford, J.C.3
  • 11
    • 0034704222 scopus 로고    scopus 로고
    • Nonlinear Dimensionality reduction by locally linear embedding
    • S. T. Roweis, and K. S. Lawrance, "Nonlinear Dimensionality reduction by locally linear embedding", Science, 2000, 290, pp. 2323-2326
    • (2000) Science , vol.290 , pp. 2323-2326
    • Roweis, S.T.1    Lawrance, K.S.2
  • 12
    • 34547195375 scopus 로고    scopus 로고
    • Probabilistic non-linear principal component analysis with Gaussian Process Latent Variable Models
    • Technical Report CS-04-8, Dept. of Computer Science, Univ. of Sheffield
    • N. Lawrence. "Probabilistic non-linear principal component analysis with Gaussian Process Latent Variable Models". Technical Report CS-04-8, Dept. of Computer Science, Univ. of Sheffield, 2004.
    • (2004)
    • Lawrence, N.1
  • 13
    • 80053225881 scopus 로고    scopus 로고
    • Sue Becker, Sebastian Thrun, and Klaus Obermayer, editors, Advances in Neural Information Processing Systems, Cambridge, MA, MIT Press
    • N. D. Lawrence, M. Seeger, and R. Herbrich. "Fast sparse Gaussian process methods: The informative vector machine". In Sue Becker, Sebastian Thrun, and Klaus Obermayer, editors, Advances in Neural Information Processing Systems, volume 15, pages 625-632, Cambridge, MA, 2003. MIT Press.
    • (2003) Fast sparse Gaussian process methods: The informative vector machine , vol.15 , pp. 625-632
    • Lawrence, N.D.1    Seeger, M.2    Herbrich, R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.