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Volumn 25, Issue 2, 2006, Pages 113-117

Infrared object tracking based on particle filters

Author keywords

Bhattacharyya coefficient; Infrared object tracking; Kernel based density estimation; Particle filter

Indexed keywords

ALGORITHMS; INFRARED DETECTORS; REGRESSION ANALYSIS; STATE ESTIMATION;

EID: 33745299719     PISSN: 10019014     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (43)

References (11)
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    • Yang, H.-Y.1    Zhang, G.-L.2
  • 2
    • 33745319678 scopus 로고    scopus 로고
    • Optical flow computation of infrared image
    • LI Xi-Ying, NI Guo-Qiang. Optical flow computation of infrared image[J]. Infrared and Laser Engineering, 2002, 31(3): 189-193.
    • (2002) Infrared and Laser Engineering , vol.31 , Issue.3 , pp. 189-193
    • Li, X.-Y.1    Ni, G.-Q.2
  • 3
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    • A study on missile plume tracking and localizing by means of forward looking infra-red (FLIR)
    • ZHAO Jiu-Fen, WANG Ming-Hai. A study on missile plume tracking and localizing by means of forward looking infra-red (FLIR)[J]. Journal of Solid Rocket Technology, 2000, 23(4): 64-68.
    • (2000) Journal of Solid Rocket Technology , vol.23 , Issue.4 , pp. 64-68
    • Zhao, J.-F.1    Wang, M.-H.2
  • 5
    • 23444443062 scopus 로고    scopus 로고
    • A novel infrared object tracking method based on mean shift
    • CHENG Jian, YANG Jie. A novel infrared object tracking method based on mean shift[J]. J. Infrared Millim. Waves, 2005, 24(3): 231-235.
    • (2005) J. Infrared Millim. Waves , vol.24 , Issue.3 , pp. 231-235
    • Cheng, J.1    Yang, J.2
  • 6
    • 0027580559 scopus 로고
    • Novel approach to nonlinear/non-Gaussian Bayesian state estimation
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    • (1993) IEE Proceedings-F , vol.140 , Issue.2 , pp. 107-113
    • Gordon, N.J.1    Salmond, D.J.2    Smith, A.F.M.3
  • 7
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    • On sequential Monte Carlo sampling methods for Bayesian filtering
    • Doucet A, Godsill S, Andrieu C. On sequential Monte Carlo sampling methods for Bayesian filtering[J]. Statistics and Computing, 2000, 10(3): 197-208.
    • (2000) Statistics and Computing , vol.10 , Issue.3 , pp. 197-208
    • Doucet, A.1    Godsill, S.2    Andrieu, C.3
  • 8
    • 0032136153 scopus 로고    scopus 로고
    • Condensation-conditional density propagation for visual tracking
    • Isard M, Blake A. Condensation-conditional density propagation for visual tracking[J]. International Journal of Computer Vision, 1998, 29(1): 5-28.
    • (1998) International Journal of Computer Vision , vol.29 , Issue.1 , pp. 5-28
    • Isard, M.1    Blake, A.2
  • 9
    • 0037262814 scopus 로고    scopus 로고
    • An introduction to MCMC for machine learning
    • Andrieu C, Freitas N D, Doucet A, et al. An introduction to MCMC for machine learning[J]. Machine Learning, 2003, 50(1/2): 5-43.
    • (2003) Machine Learning , vol.50 , Issue.1-2 , pp. 5-43
    • Andrieu, C.1    Freitas, N.D.2    Doucet, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.