| Kalman滤波器在单运动目标自动跟踪中的应用 |
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| 引用本文： | 叶稳锋,潘晓露,李一民,王冲鶄.Kalman滤波器在单运动目标自动跟踪中的应用[J].科技广场,2007(3):146-147. |
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| 作者姓名： | 叶稳锋 潘晓露 李一民 王冲鶄 |
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| 作者单位： | 昆明理工大学信息工程与自动化学院,昆明,650051 |
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| 摘 要： | 在系列帧图像中对运动目标以直方图为模型的模板方法进行匹配,由于模板匹配计算量非常大,要想在整幅图像中对目标进行搜索匹配,同时又要达到实时是不可能的。我们对目标状态进行可靠的估计,可以在相对较小的区域内完成对模板的搜索,Kalman滤波器就是一个对动态系统的状态序列进行线形最小方差估计的算法。通过以动态的状态方程和观测方程来描述系统,它可以将任意一点作为起点开始观测,采用递归滤波的方法计算。该算法具有计算量小、可实时计算的特点。
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| 关 键 词： | Kalman滤波器 目标跟踪 运动目标的预测 目标匹配 估计 |
| 文章编号： | 1671-4792-（2007）3-0090-02 |
Application of Kalman Filter in a Single Automatic Tracking of Moving Targets |
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| Ye Wenfeng,Pan Xiaolu,Li Yiming,Wang Chongjing.Application of Kalman Filter in a Single Automatic Tracking of Moving Targets[J].Science Mosaic,2007(3):146-147. |
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| Authors: | Ye Wenfeng Pan Xiaolu Li Yiming Wang Chongjing |
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| Abstract: | In a series of image frames of the moving object to the template method as a model for histogram matching, due to a very large amount of template matching. It is not possible to target the whole image, but also meet the real-time search and matching .If we aim to conduct a reliable estimate, it can be completed in a relatively small region of the search template. Kalman filter is a linear sequence of the dynamic systems, the state minimum variance estimation algorithm. Through dynamic equations to describe the equation of state and observation systems, it can arbitrarily observe point as a starting point, and recursive filtering method. It is a small amount with the characteristics of real-time computation. |
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| Keywords: | Kalman Filter Target Tracking Moving Target Forecast Matching Goals Estimates |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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