| 结合信赖域和粒子滤波的红外目标跟踪方法 |
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| 引用本文： | 王震宇,杨国田.结合信赖域和粒子滤波的红外目标跟踪方法[J].北京理工大学学报,2010,30(7):790-793. |
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| 作者姓名： | 王震宇 杨国田 |
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| 作者单位： | 华北电力大学,控制与计算机工程学院,北京,102206;北京理工大学,自动化学院,北京,100081;北京理工大学,自动化学院,北京,100081 |
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| 基金项目： | 国家教育部高等学校基本科研专项基金 |
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| 摘 要： | 研究机载前视红外(FLIR)系统中鲁棒的目标跟踪算法.在传统的粒子滤波中嵌入信赖域寻优方法,发挥了它们各自的优点.在重要性重采样之前,将所有的粒子点都置于状态空间中恰当的位置,只用少量的粒子点就可以保持住多个模态,并解决了传统粒子滤波中的采样恶化和采样枯竭问题.实验结果显示了该方法的有效性和鲁棒性.
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| 关 键 词： | 粒子滤波 信赖域 目标跟踪 红外图像 计算代价 |
| 收稿时间： | 3/2/2009 12:00:00 AM |
Target Tracking in FLIR Imagery by Combining Trust Region and Particle Filtering |
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| WANG Zhen-yu and YANG Guo-tian.Target Tracking in FLIR Imagery by Combining Trust Region and Particle Filtering[J].Journal of Beijing Institute of Technology(Natural Science Edition),2010,30(7):790-793. |
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| Authors: | WANG Zhen-yu and YANG Guo-tian |
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| Institution: | WANG Zhen-yu1,2,YANG Guo-tian1(1.School of Control , Computer Engineering,North China Electric Power University,Beijing 102206,China,2.School of Automation,Beijing Institute of Technology,Beijing 100081,China) |
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| Abstract: | In this paper,a novel algorithm,combining trust region and particle filtering,is proposed for target tracking in FLIR imagery.Trust regions and particle filters are two successful methods for object tracking.Both of them have their respective advantages and disadvantages.The proposed algorithm integrates the advantages of the two approaches.Compared with the original particle filters and trust regions,this new algorithm can maintain multiple hypotheses with fewer particles by encouraging the particles to be... |
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| Keywords: | particle filtering trust region tracking infrared images computational cost |
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