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Volumn 4, Issue , 2003, Pages

Time-dependent HMMs for visual intrusion detection

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; HIDDEN MARKOV MODELS; INTRUSION DETECTION; MARKOV PROCESSES;

EID: 84954439207     PISSN: 21607508     EISSN: 21607516     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2003.10035     Document Type: Conference Paper
Times cited : (18)

References (17)
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    • Rabiner, L.R.1
  • 2
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    • C. Bystroff, V. Thorsson, and D. Baker. HMMSTR: A Hidden Markov model for local sequence-structure correlations in proteins. Journal of Molecular Biology, 301(1):173-190, 2000.
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    • Bystroff, C.1    Thorsson, V.2    Baker, D.3
  • 4
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    • Forecasting probability densities by using Hidden Markov models with mixed states
    • A. Weigend and N. Gershenfield, editors, Addison-Wesley
    • A. Fraser and A. Dimitriadis. Forecasting probability densities by using Hidden Markov models with mixed states. In A. Weigend and N. Gershenfield, editors, Time Series Prediction: Forecasting the Future and Understanding the Past, pages 265-282. Addison-Wesley, 1994.
    • (1994) Time Series Prediction: Forecasting the Future and Understanding the Past , pp. 265-282
    • Fraser, A.1    Dimitriadis, A.2
  • 5
    • 85153946439 scopus 로고
    • An input output HMM architecture
    • G. Tesauro, D. Touretzky, and T. Leen, editors, The MIT Press
    • Y. Bengio and P. Frasconi. An input output HMM architecture. In G. Tesauro, D. Touretzky, and T. Leen, editors, Advances in Neural Information Processing Systems, volume 7, pages 427-434. The MIT Press, 1995.
    • (1995) Advances in Neural Information Processing Systems , vol.7 , pp. 427-434
    • Bengio, Y.1    Frasconi, P.2
  • 7
    • 0346495033 scopus 로고    scopus 로고
    • Detecting and tracking moving objects in video from an airborne observer
    • I. Cohen and G. Medioni. Detecting and tracking moving objects in video from an airborne observer. In In Proc. IEEE Image Understanding Workshop, pages 217-222, 1998.
    • (1998) Proc. IEEE Image Understanding Workshop , pp. 217-222
    • Cohen, I.1    Medioni, G.2
  • 8
    • 0034244889 scopus 로고    scopus 로고
    • Learning patterns of activity using real-time tracking
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    • C. Stauffer and W.E.L. Grimson. Learning patterns of activity using real-time tracking. IEEE PAMI, 22(8):747-757, Aug. 2000.
    • (2000) IEEE PAMI , vol.22 , Issue.8 , pp. 747-757
    • Stauffer, C.1    Grimson, W.E.L.2
  • 9
    • 84958603129 scopus 로고    scopus 로고
    • A Bayesian computer vision system for modeling human interactions
    • N. Oliver, B. Rosario, and A. Pentland. A Bayesian computer vision system for modeling human interactions. In Proc. of ICVS, pages 255-272, 1999.
    • (1999) Proc. of ICVS , pp. 255-272
    • Oliver, N.1    Rosario, B.2    Pentland, A.3
  • 13
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    • Learning structured behaviour models using variable length Markov models
    • A. Galata, N. Johnson, and D. Hogg. Learning structured behaviour models using variable length Markov models. In Proc. IEEE Workshop on Modelling People, pages 95-102, 1999.
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    • Adaptive background mixture models for real-time tracking
    • C. Stauffer and W.E.L. Grimson. Adaptive background mixture models for real-time tracking. In IEEE CVPR, volume 2, pages 246-252, 1999.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.