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Volumn 3175, Issue , 2004, Pages 27-35

Fast Monocular Bayesian Detection of Independently Moving Objects by a Moving Observer

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; OPTICAL FLOWS; PATTERN RECOGNITION;

EID: 33751409937     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-28649-3_4     Document Type: Article
Times cited : (13)

References (16)
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    • M.J. Black and D.J. Fleet, Probabilistic Detection and Tracking of Motion Discontinuities. ICCV, 1999.
    • (1999) ICCV
    • Black, M.J.1    Fleet, D.J.2
  • 4
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    • System Architecture for an Intersection Assistant Fusing Image, Map and GPS Information
    • S. Gehrig, S.Wagner and U. Franke, System Architecture for an Intersection Assistant Fusing Image, Map and GPS Information Proc. IEEE Intelligent Vehicles, 2003.
    • (2003) Proc. IEEE Intelligent Vehicles
    • Gehrig, S.1    Wagner, S.2    Franke, U.3
  • 6
    • 11244319185 scopus 로고    scopus 로고
    • An MCMC-Based Particle Filter for Tracking Multiple Interacting Targets
    • Z.Khan, T. Balch and F. Dellaert An MCMC-Based Particle Filter for Tracking Multiple Interacting Targets. ECCV, 2004
    • (2004) ECCV
    • Khan, Z.1    Balch, T.2    Dellaert, F.3
  • 8
    • 0032136153 scopus 로고    scopus 로고
    • Condensation - Conditional density propagation for visual tracking
    • M. Isard and A. Blake Condensation - conditional density propagation for visual tracking. IJCV, 29(1), pp.5-28, 1998.
    • (1998) IJCV , vol.29 , Issue.1 , pp. 5-28
    • Isard, M.1    Blake, A.2
  • 9
    • 0001158189 scopus 로고    scopus 로고
    • ICONDENSATION: Unifying low-level and high-level tracking in a stochastic framework
    • M. Isard and A. Blake ICONDENSATION: Unifying low-level and high-level tracking in a stochastic framework. ECCV, vol. 1 893-908, 1998.
    • (1998) ECCV , vol.1 , pp. 893-908
    • Isard, M.1    Blake, A.2
  • 10
    • 0034851441 scopus 로고    scopus 로고
    • BraMBLe: A Bayesian Multiple-Blob Tracker
    • M. Isard, J. McCormick, BraMBLe: A Bayesian Multiple-Blob Tracker. ICCV, 2001.
    • (2001) ICCV
    • Isard, M.1    McCormick, J.2
  • 11
    • 0002836012 scopus 로고
    • An iterative image registration technique with an application to stereo vision
    • B. Lucas and T. Kanade, An iterative image registration technique with an application to stereo vision Proc. DARPA IU Workshop, pp. 121-130, 1981.
    • (1981) Proc. DARPA IU Workshop , pp. 121-130
    • Lucas, B.1    Kanade, T.2
  • 12
    • 0012646920 scopus 로고    scopus 로고
    • Color-Based Probabilistic Tracking
    • P. Perez et al., Color-Based Probabilistic Tracking. ECCV, 2002.
    • (2002) ECCV
    • Perez, P.1
  • 13
    • 0032597869 scopus 로고    scopus 로고
    • Self-Calibration and Metric Reconstruction in Spite of Varying and Unknown Internal Camera Parameters
    • M. Pollefeys, R. Koch and Luc J. Van Gool, Self-Calibration and Metric Reconstruction in Spite of Varying and Unknown Internal Camera Parameters, UCV, 32(1):7-25, 1999.
    • (1999) UCV , vol.32 , Issue.1 , pp. 7-25
    • Pollefeys, M.1    Koch, R.2    Van Gool, L.J.3
  • 14
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    • Maintaining Multi-Modality through Mixture Tracking
    • J. Vermaak et al., Maintaining Multi-Modality through Mixture Tracking. ICCV, 2003.
    • (2003) ICCV
    • Vermaak, J.1
  • 16
    • 35048863580 scopus 로고    scopus 로고
    • Bayesian Real-time Optical Flow
    • J.S. Zelek, Bayesian Real-time Optical Flow. Proc VI, 2002.
    • (2002) Proc VI
    • Zelek, J.S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.