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Volumn 42, Issue 2, 2008, Pages 270-273

Detection and tracking of vehicles based on hidden Markov measure field model

Author keywords

Hidden Markov measure field; Monocular camera calibration; Vehicle detection; Vehicle tracking

Indexed keywords

HIDDEN MARKOV MODELS; MOTION PICTURES; OBJECT RECOGNITION; TRACKING (POSITION); VEHICLES;

EID: 41649095570     PISSN: 10062467     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (4)

References (9)
  • 1
    • 33646338660 scopus 로고    scopus 로고
    • A multimodal nonparametric background model for moving object detection
    • MAO Yan-fen, SHI Peng-fei. A multimodal nonparametric background model for moving object detection[J]. Journal of Shanghai Jiaotong University, 2005, 39(sup): 134-137.
    • (2005) Journal of Shanghai Jiaotong University , vol.39 , Issue.SUPPL. , pp. 134-137
    • Mao, Y.-F.1    Shi, P.-F.2
  • 2
    • 0000913755 scopus 로고
    • Spatial interaction and the statistical analysis of lattice systems
    • Besag J. Spatial interaction and the statistical analysis of lattice systems[J]. Journal of the Royal Statistical Society, Series B, 1974, 36(2): 192-236.
    • (1974) Journal of the Royal Statistical Society, Series B , vol.36 , Issue.2 , pp. 192-236
    • Besag, J.1
  • 3
    • 0021518209 scopus 로고
    • Stochastic relaxation, gibbs distribution and the Bayesian restoration of images
    • Geman D, Geman S. Stochastic relaxation, gibbs distribution and the Bayesian restoration of images[J]. IEEE Trans on Pattern Analysis and Machine Intelligence, 1984, 6(6): 721-741.
    • (1984) IEEE Trans on Pattern Analysis and Machine Intelligence , vol.6 , Issue.6 , pp. 721-741
    • Geman, D.1    Geman, S.2
  • 6
    • 0036466962 scopus 로고    scopus 로고
    • Hyperparameter estimation for satellite image restoration using an MCMC maximum-likelihood method
    • Jalobeanu A, Feraud L B, Zerubia J. Hyperparameter estimation for satellite image restoration using an MCMC maximum-likelihood method[J]. Pattern Recognition, 2002, 35(2): 341-352.
    • (2002) Pattern Recognition , vol.35 , Issue.2 , pp. 341-352
    • Jalobeanu, A.1    Feraud, L.B.2    Zerubia, J.3
  • 8
    • 0034745001 scopus 로고    scopus 로고
    • Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm
    • Zhang Y, Brady M, Smith S. Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm[J]. IEEE Trans on Medical Imaging, 2001, 20(1): 45-57.
    • (2001) IEEE Trans on Medical Imaging , vol.20 , Issue.1 , pp. 45-57
    • Zhang, Y.1    Brady, M.2    Smith, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.