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Target Tracking in FLIR Imagery by Combining Trust Region and Particle Filtering
Pages: 790-793
Year: Issue:  7
Journal: Transactions of Beijing Institute of Technology

Abstract: 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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