• Electronics Optics & Control
  • Vol. 24, Issue 4, 27 (2017)
BAI Mao-yu1, DING Yong1、2, and HU Zhong-wang1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • show less
    DOI: 10.3969/j.issn.1671-637x.2017.04.008 Cite this Article
    BAI Mao-yu, DING Yong, HU Zhong-wang. PHD Multi-target Tracking Based on Entropy Penalized EM of Unknown Clutter Estimation[J]. Electronics Optics & Control, 2017, 24(4): 27 Copy Citation Text show less
    References

    [1] GOODMAN I R, MAHLER R P, NGUYEN H T. Mathematics of data fusion[M]. Norwood: Kluwer Academic, 1997.

    [2] MAHLER R P. Multi-target Bayes filtering via first-order multi-target moments[J]. IEEE Transactions on Aerospace and Electronic Systems, 2003, 39(4): 1152-1178.

    [3] VO B N, SINGH S, DOUCET A. Sequential Monte Carlo methods for multi-target filtering with random finite sets[J]. IEEE Transactions on Aerospace and Electronic Systems, 2005, 41(4): 1224-1245.

    [4] VO B N, MA W K. The Gaussian mixture probability hypothesis density filter[J]. IEEE Transactions on Signal Processing, 2006, 54(11): 4091-4104.

    [6] LIAN F, HAN C Z, LIU W F. Estimating unknown clutter intensity for PHD filter[J]. IEEE Transactionson on Aerospace and Electronic Systems, 2010, 46(4): 2066-2078.

    [8] BARTFAI P, TOMKO J. Point processes and queuing problems[M]. North Holland: Amsterdam, 1981.

    [9] MCLACHLAN G, PEEL D. Finite mixture models[M]. New York: John Wiley & Sons, 2001: 6-7.

    [10] SCHROETER P, VESIN J M, LANGENBERGER T, et al. Robust parameter estimation of intensity distribution for brain magnetic resonance images[J]. IEEE Transactions on Medical Imaging, 1998, 17(2): 172-186.

    [12] YANG M S, LAI C Y, LIN C Y. A robust EM clustering algorithm for Gaussian mixture models[J]. Pattern Recognition, 2012(5): 3950-3961.

    BAI Mao-yu, DING Yong, HU Zhong-wang. PHD Multi-target Tracking Based on Entropy Penalized EM of Unknown Clutter Estimation[J]. Electronics Optics & Control, 2017, 24(4): 27
    Download Citation