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融合MEMS-IMU信息的亚像素相关跟踪方法
投稿时间:2017-12-06  修订日期:2018-01-09  点此下载全文
引用本文:唐湘成,田金文,黄正中,刘东升.融合MEMS-IMU信息的亚像素相关跟踪方法[J].红外,2018,39(3):29~35
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作者单位E-mail
唐湘成 西南技术物理研究所 txc_bs2010@163.com 
田金文 华中科技大学 自动化学院  
黄正中 西南技术物理研究所  
刘东升 西南技术物理研究所  
中文摘要:结合图像制导武器的工程应用,提出了一种融合微机电系统(Micro-Electro-Mechanical System, MEMS)-惯性测量单元(Inertial Measurement Unit,IMU)信息的亚像素相关跟踪方法。该方法采用基于速率测定的误差补偿方法对MEMS-IMU的测量误差进行补偿,以实现MEMS-IMU信息与图像数据的异质数据融合,同时采用基于模板插值的亚像素相关跟踪算法来提高跟踪精度。结果表明,该方法不仅可以较好地解决目前单靠图像信息提升图像跟踪精度时所面临的算法实时性与复杂度之间的冲突问题,而且还可以有效提升动基座下的图像跟踪精度。
中文关键词:图像制导  异质数据融合  亚像素相关跟踪  模板插值
 
Subpixel Correlation Tracking Method Based on MEMS-IMU Information Fusion
Abstract:In combination with the engineering applications of image guided weapons, a subpixel correlation tracking method with MEMS-IMU information fusion is proposed. In this method, an error compensation method based on rate measurement is used to compensate the measurement error of MEMS-IMU, so as to achieve the fusion of MEMS-IMU data and image heterogeneous data. Meanwhile, a subpixel correlation tracking algorithm based on template interpolation is employed to improve tracking precision. The result shows that this method not only can well solve the conflict problem between the real-time capacity and the complexity of the algorithm used when the image tracking precision is improved solely by image information, but also can improve the image tracking precision under moving bases effectively.
keywords:image guidance  heterogeneous data fusion  subpixel correlation tracking  template interpolation
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