| 基于改进粒子滤波的鲁棒目标跟踪算法 |
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| 引用本文： | 余孟泽,刘正熙,骆键,杨丹.基于改进粒子滤波的鲁棒目标跟踪算法[J].光电子．激光,2011(5):766-771. |
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| 作者姓名： | 余孟泽 刘正熙 骆键 杨丹 |
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| 作者单位： | 四川大学计算机学院；;四川大学计算机学院；;四川大学计算机学院；;四川大学计算机学院； |
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| 基金项目： | 国家“863”计划资助项目(2009AA01Z332) |
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| 摘 要： | 为了克服样本贫化现象导致的滤波发散,本文对重采样后的粒子进行有方向性的变异操作,在增加样本集的多样性同时使粒子集更集中均匀的分布在目标的邻域.同时把Mean Shift算法引入粒子滤波(PF)框架中,对PF估计结果迭代得到最优的目标状态,并用迭代得到的状态值控制粒子变异的方向.仿真实验表明,本文提出的方法具有更高的估计...
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| 关 键 词： | 目标跟踪 粒子滤波(PF) mean shift 变异重采样 |
Robust object tracking algorithm based on improved particle filter |
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| YU Meng-ze,LIU Zheng-xi,LUO Jian and YANG Dan.Robust object tracking algorithm based on improved particle filter[J].Journal of Optoelectronics·laser,2011(5):766-771. |
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| Authors: | YU Meng-ze LIU Zheng-xi LUO Jian and YANG Dan |
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| Affiliation: | College of Computer Science,Sichuan University,Chengdu 610065,China;College of Computer Science,Sichuan University,Chengdu 610065,China;College of Computer Science,Sichuan University,Chengdu 610065,China;College of Computer Science,Sichuan University,Chengdu 610065,China |
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| Abstract: | In order to overcome particle impoverishment of the particle filter,this paper embeds the mutation operator into the resample step.After the mutation operator,the particles are more diversified and closer to the object′s real state.Then,mean shift algorithm is incorporated into the particle filter to get optimal object location and adjust the distribution of particles.The simulation results show that the proposed method can get more accurate estimation results and even when object motion is drastic and unpredictable it can track objects effectively. |
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| Keywords: | object tracking particle filter mean shift mutate resample |
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