| 基于卡尔曼滤波的运动车辆序列图像参数估计 |
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| 引用本文： | 易向东.基于卡尔曼滤波的运动车辆序列图像参数估计[J].广东教育学院学报,2009,29(5):72-78. |
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| 作者姓名： | 易向东 |
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| 作者单位： | 广东教育学院,物理系,广东,广州,510303 |
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| 摘 要： | 运动目标的参数估计是近代计算机视觉领域重要的研究课题．以运动车辆的序列图像为例来分析．考虑到跟踪运动车辆对实时性要求较高的特性，没有采用经典的最小二乘滤波和维纳滤波等，而采用了卡尔曼滤波方法，由于卡尔曼滤波在时域内进行，因此不需要保存更多的数据，使得跟踪结果实时输出。
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| 关 键 词： | 运动目标 卡尔曼滤波 参数估计 |
The Parameter Estimation of the Moving Vehicle's Image Sequences Based on Kalman Filter |
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| YI Xiang-dong.The Parameter Estimation of the Moving Vehicle's Image Sequences Based on Kalman Filter[J].Journal of Guangdong Education Institute,2009,29(5):72-78. |
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| Authors: | YI Xiang-dong |
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| Institution: | YI Xiang-dong (Department of Physics, Guangdong Education Institute, Guangzhou, Guangdong, 510303, P. R. China) |
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| Abstract: | The parameter estimation of the moving target is the most important research topics in the area of modern computer vision. In this paper, by analyzing the movement of vehicles in image sequences, taking into account the track moving vehicles on the demanding real-time features, this paper adopts Kalman filtering method, instead of the classical filtering methods such as the Least-Squares filtering and Wiener filtering, due to Kalman filter in time domain, which helps to make real-time output tracking results, without saving more data. |
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| Keywords: | moving target Kalman Filter parameter estimation |
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