OPTICS & OPTOELECTRONIC TECHNOLOGY, Volume. 20, Issue 5, 57(2022)

Multi-Target Tracking Algorithm for Infrared Warning Equipment Image based on Label Multi-Bernoulli Support Vector Machine

XIAN Yong
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    References(4)

    [1] [1] Mahler R P S. Random-set approach to data fusion[C]. SPIE , 1994: 287-295.

    [2] [2] Mahler R P S. A theoretical foundation for the Stein-Winter probability hypothesis density (PHD) multi-target tracking approach[C]. Proceedings of the MSS National Symposium on Sensor and Data Fusion, San Antonio, 2000: 99-118.

    [3] [3] Lundgren M, Svensson L, Hammarstrand L. A CPHD filter for tracking with spawning models[J]. IEEE Journal of Selected Topics in Signal Processing, 2013, 7(3): 496-507.

    [4] [4] Reuter S, VO B T, VO B N, et al. The Labeled multi-Bernoulli filter[J]. IEEE Trans on Signal Processing, 2014, 62(12): 3246-3260.

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    XIAN Yong. Multi-Target Tracking Algorithm for Infrared Warning Equipment Image based on Label Multi-Bernoulli Support Vector Machine[J]. OPTICS & OPTOELECTRONIC TECHNOLOGY, 2022, 20(5): 57

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    Paper Information

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    Received: Feb. 13, 2022

    Accepted: --

    Published Online: Oct. 17, 2022

    The Author Email:

    DOI:

    CSTR:32186.14.

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