| 基于特征点的运动汽车跟踪算法研究 |
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| 引用本文： | 王进花,曹洁.基于特征点的运动汽车跟踪算法研究[J].电气自动化,2011,33(6):14-16. |
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| 作者姓名： | 王进花 曹洁 |
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| 作者单位： | 兰州理工大学电气工程与信息工程学院,甘肃兰州,730050 |
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| 基金项目： | 甘肃省自然科学基金，甘肃省教育厅硕导基金 |
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| 摘 要： | 设计了一种基于特征点的运动汽车实时跟踪算法.结合自适应卡尔曼滤波(Adaptive Kalman Filter,AKF)算法,提出了一种简单实用的特征点匹配跟踪算法,实验表明该算法既能准确的描述目标,又减少了匹配计算量,从而实现了快速准确地跟踪运动汽车的目的.
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| 关 键 词： | 特征点 自适应卡尔曼滤波(AKF) 运动汽车 跟踪算法 |
An Object Tracking Algorithm Based on Feature Points |
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| Wang Jinhua,Cao Jie.An Object Tracking Algorithm Based on Feature Points[J].Electrical Automation,2011,33(6):14-16. |
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| Authors: | Wang Jinhua Cao Jie |
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| Affiliation: | (College of Electrical and Information Engineering,Lanzhou University of Technology,Lanzhou Gansu 730050, China) |
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| Abstract: | We present a real-time tracking algorithm of moving vehicle based on feature points.We provide a simple and practical feature points matching algorithm using Adaptive Kalman Filter(AKF).The results of simulation experiments show that the algorithm performs well in fast tracking maneuvering target,which can not only describe the target accurately,but decrease the time of matching computation. |
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| Keywords: | feature points adaptive kalman filtering(AKF) moving vehicles tracking algorithm |
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