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Shiptarget tracking with improved kernelized correlation filters
Information Sciences | 更新时间:2020-08-13
    • Shiptarget tracking with improved kernelized correlation filters

    • New breakthroughs have been made in maritime intelligent monitoring technology, and researchers have proposed an improved nuclear correlation filter based ship target tracking algorithm to address the problem of ship target tracking at sea. This algorithm effectively improves tracking accuracy and speed by introducing ship target tracking critical probability, Kalman filtering module, and target tracking anomaly handling module. The experiment shows that the algorithm performs well in complex sea conditions, meeting the requirements of accuracy, real-time performance, and applicability for tracking maritime targets.
    • Optics and Precision Engineering   Vol. 27, Issue 4, Pages: 911-921(2019)
    • DOI:10.3788/OPE.20192704.0911    

      CLC: TP391
    • Received:08 August 2018

      Accepted:05 October 2018

      Published:15 April 2019

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  • Chao DONG, Bing ZHENG, Bin LI, et al. Shiptarget tracking with improved kernelized correlation filters[J]. Optics and precision engineering, 2019, 27(4): 911-921. DOI: 10.3788/OPE.20192704.0911.

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