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Improved particle filtering algorithm for maneuvering object tracking using deformation detection

机译:基于变形检测的机动目标跟踪的改进粒子滤波算法

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摘要

In this paper, a new approach is proposed for tracking maneuvering target by improving the basic SIR algorithm. We proposed a dynamic model for maneuvering target. If changes of target model are larger than a predetermined threshold, then the target model will be updated. Practical results show that our proposed approach considerably improves accurate tracking of a maneuvering object. We will compare our proposed approach with the basic SIR algorithm in tracking a single maneuvering aircraft. Results of our proposed algorithm are also illustrated in tracking different maneuvering targets on few real-world case study videos.
机译:本文提出了一种通过改进基本的SIR算法来跟踪机动目标的新方法。我们提出了一种机动目标的动态模型。如果目标模型的变化大于预定阈值,则将更新目标模型。实际结果表明,我们提出的方法大大提高了对机动物体的精确跟踪。我们将比较我们提出的方法和基本的SIR算法,以跟踪一架机动飞机。我们的算法的结果还通过跟踪一些实际案例研究视频中的不同机动目标得到了说明。

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